data

Autogenerated data summary from dataMaid

Published

October 8, 2023

Data report overview

The dataset examined has the following dimensions:

Feature Result
Number of observations 4559
Number of variables 106

Checks performed

The following variable checks were performed, depending on the data type of each variable:

  character factor labelled haven labelled numeric integer logical Date
Identify miscoded missing values × × × × × × ×
Identify prefixed and suffixed whitespace × × × ×
Identify levels with < 6 obs. × × × ×
Identify case issues × × × ×
Identify misclassified numeric or integer variables × × × ×
Identify outliers × × ×

Please note that all numerical values in the following have been rounded to 2 decimals.

Summary table

  Variable class # unique values Missing observations Any problems?
icustay_id…1 numeric 4559 0.00 %
hadm_id…2 numeric 4559 0.00 %
intime character 4559 0.00 % ×
outtime character 4559 0.00 % ×
dbsource character 1 0.00 % ×
suspected_infection_time_poe character 4558 0.00 % ×
suspected_infection_time_poe_days numeric 4370 0.00 % ×
specimen_poe character 35 0.00 % ×
positiveculture_poe numeric 2 0.00 %
antibiotic_time_poe character 4274 0.00 % ×
blood_culture_time character 4558 0.00 % ×
blood_culture_positive numeric 2 0.00 %
age numeric 3831 0.00 %
gender character 2 0.00 %
is_male numeric 2 0.00 %
ethnicity character 41 0.00 % ×
race_white numeric 2 0.00 %
race_black numeric 2 0.00 %
race_hispanic numeric 2 0.00 %
race_other numeric 2 0.00 %
metastatic_cancer numeric 2 0.00 %
diabetes numeric 2 0.00 %
first_service character 13 0.00 %
hospital_expire_flag numeric 2 0.00 %
thirtyday_expire_flag numeric 2 0.00 %
icu_los numeric 4401 0.00 % ×
hosp_los numeric 4191 0.00 % ×
sepsis_angus numeric 2 0.00 %
sepsis_martin numeric 2 0.00 %
sepsis_explicit numeric 2 0.00 %
septic_shock_explicit numeric 2 0.00 %
severe_sepsis_explicit numeric 2 0.00 %
sepsis_nqf numeric 2 0.00 %
sepsis_cdc numeric 2 0.00 %
sepsis_cdc_simple numeric 2 0.00 %
elixhauser_hospital numeric 49 0.00 % ×
vent numeric 2 0.00 %
sofa numeric 20 0.00 % ×
lods numeric 21 0.00 % ×
sirs numeric 5 0.00 %
qsofa numeric 4 0.00 %
qsofa_sysbp_score numeric 3 0.15 %
qsofa_gcs_score numeric 3 0.07 %
qsofa_resprate_score numeric 3 0.02 %
aniongap_min numeric 35 0.31 % ×
aniongap_max numeric 44 0.31 % ×
bicarbonate_min numeric 40 0.07 % ×
bicarbonate_max numeric 43 0.07 % ×
creatinine_min numeric 98 0.04 % ×
creatinine_max numeric 123 0.04 % ×
chloride_min numeric 67 0.02 % ×
chloride_max numeric 65 0.02 % ×
glucose_min numeric 257 0.00 % ×
glucose_max numeric 473 0.00 % ×
hematocrit_min numeric 341 0.07 % ×
hematocrit_max numeric 331 0.07 % ×
hemoglobin_min numeric 139 0.07 % ×
hemoglobin_max numeric 130 0.07 % ×
lactate_min numeric 97 0.00 % ×
lactate_max numeric 165 0.00 % ×
lactate_mean numeric 209 0.00 % ×
platelet_min numeric 528 0.13 % ×
platelet_max numeric 609 0.13 % ×
potassium_min numeric 51 0.00 % ×
potassium_max numeric 73 0.00 % ×
inr_min numeric 69 5.92 % ×
inr_max numeric 99 5.92 % ×
sodium_min numeric 61 0.00 % ×
sodium_max numeric 63 0.00 % ×
bun_min numeric 140 0.04 % ×
bun_max numeric 157 0.04 % ×
bun_mean numeric 256 0.00 % ×
wbc_min numeric 349 0.11 % ×
wbc_max numeric 436 0.11 % ×
wbc_mean numeric 658 0.00 % ×
heartrate_min numeric 114 0.00 % ×
heartrate_max numeric 131 0.00 % ×
heartrate_mean numeric 3902 0.00 % ×
sysbp_min numeric 135 0.18 % ×
sysbp_max numeric 152 0.18 % ×
sysbp_mean numeric 3868 0.18 % ×
diasbp_min numeric 81 0.18 % ×
diasbp_max numeric 137 0.18 % ×
diasbp_mean numeric 3622 0.18 % ×
meanbp_min numeric 103 0.00 % ×
meanbp_max numeric 197 0.00 % ×
meanbp_mean numeric 3677 0.00 % ×
resprate_min numeric 31 0.02 % ×
resprate_max numeric 54 0.02 % ×
resprate_mean numeric 3111 0.02 % ×
tempc_min numeric 168 2.26 % ×
tempc_max numeric 165 2.26 % ×
tempc_mean numeric 1693 2.26 % ×
spo2_min numeric 72 0.02 % ×
spo2_max numeric 13 0.02 % ×
spo2_mean numeric 2016 0.02 % ×
glucose_min1 numeric 246 0.66 % ×
glucose_max1 numeric 455 0.66 % ×
glucose_mean numeric 2229 0.66 % ×
rrt numeric 2 0.00 %
subject_id numeric 4559 0.00 % ×
hadm_id…102 numeric 4559 0.00 %
icustay_id…103 numeric 4559 0.00 %
urineoutput numeric 1794 0.00 % ×
colloid_bolus numeric 14 88.84 % ×
crystalloid_bolus numeric 97 26.19 % ×

Variable list

icustay_id…1

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4559
Median 251008
1st and 3rd quartiles 225575.5; 275526
Min. and max. 200075; 299998

hadm_id…2

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4559
Median 149643
1st and 3rd quartiles 125389; 175033
Min. and max. 100003; 199962

intime

  • The variable is a key (distinct values for each observation).

outtime

  • The variable is a key (distinct values for each observation).

dbsource

  • The variable only takes one (non-missing) value: "metavision". The variable contains 0 % missing observations.

suspected_infection_time_poe

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 4558
Mode “18/8/2159 00:00:00”

  • Note that the following levels have at most five observations: "1/1/2118 1:02", "1/1/2118 14:36", "1/1/2125 14:05", "1/1/2132 21:00", "1/1/2135 15:55", …, "9/9/2184 10:25", "9/9/2185 18:24", "9/9/2186 18:18", "9/9/2188 1:05", "9/9/2198 18:30" (4548 values omitted).

suspected_infection_time_poe_days

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4370
Median 0.03
1st and 3rd quartiles -0.08; 0.16
Min. and max. -0.99; 1

  • Note that the following possible outlier values were detected: "-0.99", "-0.98", "-0.93", "-0.93", "-0.92", …, "0.99", "0.99", "0.99", "0.99", "1" (519 values omitted).

specimen_poe

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 35
Mode “BLOOD CULTURE”

  • Note that the following levels have at most five observations: "ABSCESS", "BILE", "Blood (EBV)", "Blood (Malaria)", "Blood (Toxo)", …, "NEOPLASTIC BLOOD", "PLEURAL FLUID", "RAPID RESPIRATORY VIRAL ANTIGEN TEST", "Rapid Respiratory Viral Screen & Culture", "URINE,KIDNEY" (10 values omitted).

positiveculture_poe

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

antibiotic_time_poe

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 4274
Mode “1/4/2191 0:00”

  • Note that the following levels have at most five observations: "1/1/2111 0:00", "1/1/2116 0:00", "1/1/2130 0:00", "1/1/2134 0:00", "1/1/2135 0:00", …, "9/9/2181 0:00", "9/9/2185 0:00", "9/9/2187 0:00", "9/9/2189 0:00", "9/9/2198 0:00" (4264 values omitted).

blood_culture_time

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 4558
Mode “18/8/2159 00:00:00”

  • Note that the following levels have at most five observations: "1/1/2113 20:45", "1/1/2118 1:02", "1/1/2118 14:36", "1/1/2125 14:05", "1/1/2132 21:00", …, "9/9/2184 10:25", "9/9/2185 18:24", "9/9/2186 18:18", "9/9/2188 1:05", "9/9/2198 18:30" (4548 values omitted).

blood_culture_positive

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

age

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 3831
Median 66.59
1st and 3rd quartiles 53.76; 79.53
Min. and max. 16.78; 91.4

gender

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “M”

is_male

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

ethnicity

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 41
Mode “WHITE”

  • Note that the following levels have at most five observations: "AMERICAN INDIAN/ALASKA NATIVE", "AMERICAN INDIAN/ALASKA NATIVE FEDERALLY RECOGNIZED TRIBE", "ASIAN - CAMBODIAN", "ASIAN - FILIPINO", "ASIAN - JAPANESE", …, "HISPANIC/LATINO - SALVADORAN", "NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER", "SOUTH AMERICAN", "WHITE - BRAZILIAN", "WHITE - EASTERN EUROPEAN" (11 values omitted).

race_white

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

race_black

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

race_hispanic

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

race_other

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

metastatic_cancer

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

diabetes

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

first_service

Feature Result
Variable type character
Number of missing obs. 0 (0 %)
Number of unique values 13
Mode “MED”

hospital_expire_flag

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

thirtyday_expire_flag

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

icu_los

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4401
Median 2.82
1st and 3rd quartiles 1.61; 5.87
Min. and max. 0.17; 101.74

  • Note that the following possible outlier values were detected: "0.17", "0.25", "0.25", "0.3", "0.31", …, "59.47", "60.94", "61.93", "79.11", "101.74" (96 values omitted).

hosp_los

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4191
Median 7.79
1st and 3rd quartiles 4.73; 13.03
Min. and max. -0.43; 206.43

  • Note that the following possible outlier values were detected: "-0.43", "-0.06", "0.11", "0.17", "0.18", …, "100.49", "101.62", "123.13", "133.1", "206.43" (207 values omitted).

sepsis_angus

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

sepsis_martin

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

sepsis_explicit

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

septic_shock_explicit

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

severe_sepsis_explicit

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

sepsis_nqf

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

sepsis_cdc

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

sepsis_cdc_simple

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

elixhauser_hospital

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 49
Median 4
1st and 3rd quartiles 0; 9
Min. and max. -23; 30

  • Note that the following possible outlier values were detected: "-23", "-21", "-20", "-19", "-16", …, "24", "25", "27", "28", "30" (3 values omitted).

vent

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “1”
Reference category 0

sofa

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 20
Median 5
1st and 3rd quartiles 3; 7
Min. and max. 2; 21

  • Note that the following possible outlier values were detected: "18", "19", "20", "21".

lods

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 21
Median 5
1st and 3rd quartiles 3; 7
Min. and max. 0; 20

  • Note that the following possible outlier values were detected: "14", "15", "16", "17", "18", "19", "20".

sirs

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 5
Mode “3”
Reference category 0

qsofa

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4
Mode “2”
Reference category 0

qsofa_sysbp_score

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 7 (0.15 %)
Number of unique values 2
Mode “1”
Reference category 0

qsofa_gcs_score

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 2
Mode “0”
Reference category 0

qsofa_resprate_score

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 2
Mode “1”
Reference category 0

aniongap_min

Feature Result
Variable type numeric
Number of missing obs. 14 (0.31 %)
Number of unique values 34
Median 12
1st and 3rd quartiles 10; 15
Min. and max. 3; 42

  • Note that the following possible outlier values were detected: "3", "4", "5", "6", "29", …, "32", "33", "35", "36", "42" (2 values omitted).

aniongap_max

Feature Result
Variable type numeric
Number of missing obs. 14 (0.31 %)
Number of unique values 43
Median 16
1st and 3rd quartiles 13; 19
Min. and max. 6; 56

  • Note that the following possible outlier values were detected: "6", "7", "32", "33", "34", …, "44", "46", "47", "54", "56" (9 values omitted).

bicarbonate_min

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 39
Median 21
1st and 3rd quartiles 18; 24
Min. and max. 5; 45

  • Note that the following possible outlier values were detected: "5", "6", "7", "8", "34", …, "38", "39", "40", "41", "45" (3 values omitted).

bicarbonate_max

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 42
Median 24
1st and 3rd quartiles 22; 27
Min. and max. 8; 49

  • Note that the following possible outlier values were detected: "8", "9", "10", "11", "12", …, "44", "45", "46", "47", "49" (11 values omitted).

creatinine_min

Feature Result
Variable type numeric
Number of missing obs. 2 (0.04 %)
Number of unique values 97
Median 1
1st and 3rd quartiles 0.7; 1.4
Min. and max. 0.1; 22.1

  • Note that the following possible outlier values were detected: "0.1", "0.2", "0.3", "0.4", "4.3", …, "11.3", "12", "14.9", "17.3", "22.1" (49 values omitted).

creatinine_max

Feature Result
Variable type numeric
Number of missing obs. 2 (0.04 %)
Number of unique values 122
Median 1.2
1st and 3rd quartiles 0.9; 1.9
Min. and max. 0.1; 27.8

  • Note that the following possible outlier values were detected: "0.1", "0.2", "0.3", "0.4", "0.5", …, "16", "17", "20.6", "27.5", "27.8" (45 values omitted).

chloride_min

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 66
Median 102
1st and 3rd quartiles 98; 106
Min. and max. 58; 139

  • Note that the following possible outlier values were detected: "58", "61", "62", "64", "65", …, "127", "128", "133", "134", "139" (23 values omitted).

chloride_max

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 64
Median 108
1st and 3rd quartiles 104; 112
Min. and max. 67; 155

  • Note that the following possible outlier values were detected: "67", "80", "81", "82", "84", …, "139", "140", "141", "144", "155" (21 values omitted).

glucose_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 257
Median 106
1st and 3rd quartiles 90; 127
Min. and max. 15; 425

  • Note that the following possible outlier values were detected: "15", "19", "20", "21", "22", …, "353", "355", "359", "424", "425" (91 values omitted).

glucose_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 473
Median 161
1st and 3rd quartiles 128; 211
Min. and max. 38; 2275

  • Note that the following possible outlier values were detected: "38", "40", "56", "57", "58", …, "1155", "1208", "1317", "1689", "2275" (107 values omitted).

hematocrit_min

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 340
Median 29.5
1st and 3rd quartiles 25.3; 34
Min. and max. 9; 55.9

  • Note that the following possible outlier values were detected: "9", "9.1", "9.9", "10.6", "11", …, "52.8", "53.3", "54", "54.5", "55.9" (18 values omitted).

hematocrit_max

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 330
Median 35.6
1st and 3rd quartiles 31.6; 40
Min. and max. 16.4; 61

  • Note that the following possible outlier values were detected: "16.4", "18.1", "19.1", "20.3", "20.6", …, "59.1", "60.4", "60.5", "60.9", "61" (14 values omitted).

hemoglobin_min

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 138
Median 9.9
1st and 3rd quartiles 8.5; 11.4
Min. and max. 2.7; 18

  • Note that the following possible outlier values were detected: "2.7", "2.9", "3", "3.2", "3.5", …, "16.6", "17.2", "17.4", "17.5", "18" (14 values omitted).

hemoglobin_max

Feature Result
Variable type numeric
Number of missing obs. 3 (0.07 %)
Number of unique values 129
Median 11.85
1st and 3rd quartiles 10.4; 13.4
Min. and max. 4.8; 19.6

  • Note that the following possible outlier values were detected: "4.8", "6", "6.3", "6.4", "18.5", …, "19.1", "19.3", "19.4", "19.5", "19.6" (1 values omitted).

lactate_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 97
Median 1.4
1st and 3rd quartiles 1; 2
Min. and max. 0.3; 20.3

  • Note that the following possible outlier values were detected: "0.3", "0.4", "5.4", "5.5", "5.6", …, "12.1", "12.6", "13.2", "15.6", "20.3" (37 values omitted).

lactate_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 165
Median 2.2
1st and 3rd quartiles 1.5; 3.5
Min. and max. 0.3; 32

  • Note that the following possible outlier values were detected: "0.3", "0.4", "0.5", "0.6", "0.7", …, "21.2", "21.4", "22.4", "23.5", "32" (40 values omitted).

lactate_mean

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 209
Median 1.9
1st and 3rd quartiles 1.35; 2.75
Min. and max. 0.3; 20.85

  • Note that the following possible outlier values were detected: "0.3", "0.4", "0.45", "0.5", "0.55", …, "15.35", "15.55", "16.8", "19.55", "20.85" (58 values omitted).

platelet_min

Feature Result
Variable type numeric
Number of missing obs. 6 (0.13 %)
Number of unique values 527
Median 178
1st and 3rd quartiles 122; 246
Min. and max. 5; 1297

  • Note that the following possible outlier values were detected: "5", "6", "7", "8", "9", …, "951", "961", "996", "1039", "1297" (57 values omitted).

platelet_max

Feature Result
Variable type numeric
Number of missing obs. 6 (0.13 %)
Number of unique values 608
Median 224
1st and 3rd quartiles 159; 303
Min. and max. 16; 1775

  • Note that the following possible outlier values were detected: "16", "18", "19", "20", "21", …, "1081", "1163", "1308", "1418", "1775" (73 values omitted).

potassium_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 51
Median 3.7
1st and 3rd quartiles 3.4; 4.1
Min. and max. 0.9; 6.8

  • Note that the following possible outlier values were detected: "0.9", "1.2", "1.4", "1.5", "1.7", …, "5.9", "6", "6.2", "6.4", "6.8" (13 values omitted).

potassium_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 73
Median 4.5
1st and 3rd quartiles 4.1; 5.1
Min. and max. 2.3; 13.5

  • Note that the following possible outlier values were detected: "2.3", "2.8", "2.9", "3", "3.1", …, "9.7", "9.8", "9.9", "10.2", "13.5" (17 values omitted).

inr_min

Feature Result
Variable type numeric
Number of missing obs. 270 (5.92 %)
Number of unique values 68
Median 1.2
1st and 3rd quartiles 1.1; 1.4
Min. and max. 0.6; 14.6

  • Note that the following possible outlier values were detected: "0.6", "0.7", "0.8", "0.9", "2.7", …, "7.1", "7.7", "12", "13", "14.6" (38 values omitted).

inr_max

Feature Result
Variable type numeric
Number of missing obs. 270 (5.92 %)
Number of unique values 98
Median 1.3
1st and 3rd quartiles 1.2; 1.7
Min. and max. 0.6; 24

  • Note that the following possible outlier values were detected: "0.6", "0.8", "0.9", "1", "5.1", …, "18.8", "21", "21.1", "21.5", "24" (47 values omitted).

sodium_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 61
Median 136
1st and 3rd quartiles 133; 139
Min. and max. 74; 166

  • Note that the following possible outlier values were detected: "74", "95", "103", "104", "106", …, "160", "162", "163", "165", "166" (26 values omitted).

sodium_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 63
Median 140
1st and 3rd quartiles 138; 143
Min. and max. 108; 182

  • Note that the following possible outlier values were detected: "108", "113", "114", "116", "117", …, "173", "174", "175", "180", "182" (33 values omitted).

bun_min

Feature Result
Variable type numeric
Number of missing obs. 2 (0.04 %)
Number of unique values 139
Median 19
1st and 3rd quartiles 13; 32
Min. and max. 1; 182

  • Note that the following possible outlier values were detected: "1", "2", "3", "4", "5", …, "152", "155", "160", "181", "182" (16 values omitted).

bun_max

Feature Result
Variable type numeric
Number of missing obs. 2 (0.04 %)
Number of unique values 156
Median 24
1st and 3rd quartiles 16; 39
Min. and max. 3; 261

  • Note that the following possible outlier values were detected: "3", "4", "5", "6", "7", …, "212", "218", "229", "251", "261" (13 values omitted).

bun_mean

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 256
Median 21.5
1st and 3rd quartiles 14.5; 36
Min. and max. 0; 216.5

  • Note that the following possible outlier values were detected: "0", "2", "3", "3.5", "4", …, "172", "178.5", "194.5", "206.5", "216.5" (19 values omitted).

wbc_min

Feature Result
Variable type numeric
Number of missing obs. 5 (0.11 %)
Number of unique values 348
Median 9.6
1st and 3rd quartiles 6.6; 13.4
Min. and max. 0.1; 336.7

  • Note that the following possible outlier values were detected: "0.1", "0.2", "0.3", "0.4", "0.5", …, "86", "87.8", "181.4", "243.6", "336.7" (66 values omitted).

wbc_max

Feature Result
Variable type numeric
Number of missing obs. 5 (0.11 %)
Number of unique values 435
Median 13.6
1st and 3rd quartiles 9.7; 18.5
Min. and max. 0.1; 471.7

  • Note that the following possible outlier values were detected: "0.1", "0.2", "0.3", "0.4", "0.5", …, "126.2", "183", "325.7", "462.6", "471.7" (78 values omitted).

wbc_mean

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 658
Median 11.75
1st and 3rd quartiles 8.4; 15.85
Min. and max. 0; 404.2

  • Note that the following possible outlier values were detected: "0", "0.1", "0.15", "0.2", "0.25", …, "106.1", "182.2", "206.75", "353.1", "404.2" (94 values omitted).

heartrate_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 114
Median 72
1st and 3rd quartiles 62; 84
Min. and max. 1; 134

  • Note that the following possible outlier values were detected: "1", "3", "4", "5", "8", …, "37", "127", "129", "130", "134" (17 values omitted).

heartrate_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 131
Median 106
1st and 3rd quartiles 92; 121
Min. and max. 41; 223

  • Note that the following possible outlier values were detected: "41", "49", "50", "53", "55", …, "190", "194", "213", "215", "223" (9 values omitted).

heartrate_mean

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 3902
Median 87.78
1st and 3rd quartiles 76.02; 99.75
Min. and max. 35.78; 154.53

  • Note that the following possible outlier values were detected: "35.78", "36", "37.62", "138.48", "138.71", …, "139.14", "139.48", "149.12", "152.22", "154.53" (1 values omitted).

sysbp_min

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 134
Median 88
1st and 3rd quartiles 79; 98
Min. and max. 5; 168

  • Note that the following possible outlier values were detected: "5", "10", "18", "22", "23", …, "151", "158", "161", "162", "168" (49 values omitted).

sysbp_max

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 151
Median 146
1st and 3rd quartiles 132; 162
Min. and max. 83; 311

  • Note that the following possible outlier values were detected: "83", "89", "90", "91", "92", …, "252", "254", "265", "273", "311" (21 values omitted).

sysbp_mean

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 3867
Median 113.61
1st and 3rd quartiles 104.89; 125.63
Min. and max. 69.88; 195.34

  • Note that the following possible outlier values were detected: "69.88", "71.68", "71.73", "73.12", "75.44", …, "180.83", "181.96", "182.48", "188.29", "195.34" (85 values omitted).

diasbp_min

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 80
Median 44
1st and 3rd quartiles 37; 51
Min. and max. 5; 114

  • Note that the following possible outlier values were detected: "5", "6", "11", "12", "13", …, "85", "88", "92", "93", "114" (13 values omitted).

diasbp_max

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 136
Median 83
1st and 3rd quartiles 73; 96
Min. and max. 35; 197

  • Note that the following possible outlier values were detected: "35", "41", "44", "46", "48", …, "183", "185", "187", "196", "197" (30 values omitted).

diasbp_mean

Feature Result
Variable type numeric
Number of missing obs. 8 (0.18 %)
Number of unique values 3621
Median 60.3
1st and 3rd quartiles 54.09; 67
Min. and max. 26.33; 129.57

  • Note that the following possible outlier values were detected: "26.33", "28.4", "32.48", "32.94", "33.43", …, "103.52", "104.29", "105.46", "107.43", "129.57" (67 values omitted).

meanbp_min

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 103
Median 56
1st and 3rd quartiles 49; 63
Min. and max. 1; 113

  • Note that the following possible outlier values were detected: "1", "2", "3", "4", "5", …, "101", "102", "104", "109", "113" (37 values omitted).

meanbp_max

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 197
Median 101
1st and 3rd quartiles 90; 114
Min. and max. 56; 298

  • Note that the following possible outlier values were detected: "56", "58", "60", "62", "63", …, "294", "295", "296", "297", "298" (89 values omitted).

meanbp_mean

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 3677
Median 75
1st and 3rd quartiles 69.04; 82.41
Min. and max. 45.6; 133.16

  • Note that the following possible outlier values were detected: "45.6", "46.97", "48.36", "48.71", "49.83", …, "122.48", "123.21", "124.96", "131.5", "133.16" (71 values omitted).

resprate_min

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 30
Median 13
1st and 3rd quartiles 10; 15
Min. and max. 1; 32

  • Note that the following possible outlier values were detected: "1", "2", "23", "24", "25", "26", "27", "28", "30", "32".

resprate_max

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 53
Median 27
1st and 3rd quartiles 24; 32
Min. and max. 13; 69

  • Note that the following possible outlier values were detected: "13", "14", "15", "16", "17", …, "61", "62", "64", "68", "69" (10 values omitted).

resprate_mean

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 3110
Median 19.26
1st and 3rd quartiles 16.79; 22.4
Min. and max. 9.54; 40.58

  • Note that the following possible outlier values were detected: "9.54", "9.78", "10.17", "10.5", "10.79", …, "38.44", "38.96", "40.16", "40.37", "40.58" (20 values omitted).

tempc_min

Feature Result
Variable type numeric
Number of missing obs. 103 (2.26 %)
Number of unique values 167
Median 36.11
1st and 3rd quartiles 35.61; 36.61
Min. and max. 15; 39.6

  • Note that the following possible outlier values were detected: "15", "26.67", "29.44", "29.9", "30.56", …, "38.7", "38.72", "38.94", "39.2", "39.6" (53 values omitted).

tempc_max

Feature Result
Variable type numeric
Number of missing obs. 103 (2.26 %)
Number of unique values 164
Median 37.5
1st and 3rd quartiles 37; 38.11
Min. and max. 31.6; 42

  • Note that the following possible outlier values were detected: "31.6", "32.2", "32.4", "32.61", "32.7", …, "40.9", "40.94", "41.11", "41.6", "42" (39 values omitted).

tempc_mean

Feature Result
Variable type numeric
Number of missing obs. 103 (2.26 %)
Number of unique values 1692
Median 36.82
1st and 3rd quartiles 36.41; 37.31
Min. and max. 31.6; 40.1

  • Note that the following possible outlier values were detected: "31.6", "32.02", "32.1", "32.2", "32.35", …, "39.36", "39.45", "39.56", "39.71", "40.1" (84 values omitted).

spo2_min

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 71
Median 93
1st and 3rd quartiles 90; 95
Min. and max. 1; 100

  • Note that the following possible outlier values were detected: "1", "5", "11", "13", "18", …, "74", "75", "76", "99", "100" (39 values omitted).

spo2_max

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 12
Median 100
1st and 3rd quartiles 100; 100
Min. and max. 89; 100

  • Note that the following possible outlier values were detected: "89", "90", "91", "92", "93", …, "95", "96", "97", "98", "99" (1 values omitted).

spo2_mean

Feature Result
Variable type numeric
Number of missing obs. 1 (0.02 %)
Number of unique values 2015
Median 97.26
1st and 3rd quartiles 95.8; 98.6
Min. and max. 55.87; 100

  • Note that the following possible outlier values were detected: "55.87", "71.85", "76.16", "76.38", "78.08", …, "89.81", "89.96", "90", "90.07", "90.13" (55 values omitted).

glucose_min1

Feature Result
Variable type numeric
Number of missing obs. 30 (0.66 %)
Number of unique values 245
Median 106
1st and 3rd quartiles 89; 127
Min. and max. 12; 480

  • Note that the following possible outlier values were detected: "12", "15", "16", "19", "20", …, "356", "357", "374", "424", "480" (80 values omitted).

glucose_max1

Feature Result
Variable type numeric
Number of missing obs. 30 (0.66 %)
Number of unique values 454
Median 166
1st and 3rd quartiles 130; 217
Min. and max. 57; 999999

  • The following suspected missing value codes enter as regular values: "999999".

  • Note that the following possible outlier values were detected: "57", "62", "64", "65", "66", …, "883", "900", "1016", "1038", "999999" (62 values omitted).

glucose_mean

Feature Result
Variable type numeric
Number of missing obs. 30 (0.66 %)
Number of unique values 2228
Median 134.19
1st and 3rd quartiles 113; 165
Min. and max. 52.44; 142966.86

  • Note that the following possible outlier values were detected: "52.44", "57", "62", "62.75", "63.07", …, "479.26", "578.25", "657", "786.22", "142966.86" (114 values omitted).

rrt

  • Note that this variable is treated as a factor variable below, as it only takes a few unique values.
Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 2
Mode “0”
Reference category 0

subject_id

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4559
Median 68368
1st and 3rd quartiles 53111.5; 83771.5
Min. and max. 165; 99982

  • Note that the following possible outlier values were detected: "165", "266", "671", "5771", "7310".

hadm_id…102

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4559
Median 149643
1st and 3rd quartiles 125389; 175033
Min. and max. 100003; 199962

icustay_id…103

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 4559
Median 251008
1st and 3rd quartiles 225575.5; 275526
Min. and max. 200075; 299998

urineoutput

Feature Result
Variable type numeric
Number of missing obs. 0 (0 %)
Number of unique values 1794
Median 1560
1st and 3rd quartiles 897.5; 2460
Min. and max. 0; 50515

  • Note that the following possible outlier values were detected: "6540", "6560", "6640", "6650", "6670", …, "9910", "10525", "11025", "12210", "50515" (34 values omitted).

colloid_bolus

Feature Result
Variable type numeric
Number of missing obs. 4050 (88.84 %)
Number of unique values 13
Median 500
1st and 3rd quartiles 250; 500
Min. and max. 150; 1000

  • Note that the following possible outlier values were detected: "550", "600", "900", "1000".

crystalloid_bolus

Feature Result
Variable type numeric
Number of missing obs. 1194 (26.19 %)
Number of unique values 96
Median 500
1st and 3rd quartiles 500; 1000
Min. and max. 250; 11000

  • Note that the following possible outlier values were detected: "250", "258", "267", "275", "276", …, "423", "433", "450", "467", "475" (21 values omitted).

Report generation information:

  • Created by: Could not determine from system (username: ecm20).

  • Report creation time: Sun Oct 08 2023 10:44:20

  • Report was run from directory: /home/ecm20/R/STA6257_Project_SVM/Josh Branch/STA6257_Project_SVM_Josh/Team Repo

  • dataMaid v1.4.1 [Pkg: 2021-10-08 from CRAN (R 4.3.1)]

  • R version 4.3.1 (2023-06-16).

  • Platform: x86_64-pc-linux-gnu (64-bit)(America/Chicago).

  • Function call: makeDataReport(data = data, output = "html", replace = TRUE)