Data
ALARM_dataset

ALARM_dataset

active ARFF Publicly available Visibility: public Uploaded 30-01-2022 by Oleksandr Zadorozhnyi
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Dataset description The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring. The alarm data set contains the following 37 variables: CVP (central venous pressure): a three-level factor with levels LOW, NORMAL and HIGH. PCWP (pulmonary capillary wedge pressure): a three-level factor with levels LOW, NORMAL and HIGH. HIST (history): a two-level factor with levels TRUE and FALSE. TPR (total peripheral resistance): a three-level factor with levels LOW, NORMAL and HIGH. BP (blood pressure): a three-level factor with levels LOW, NORMAL and HIGH. CO (cardiac output): a three-level factor with levels LOW, NORMAL and HIGH. HRBP (heart rate / blood pressure): a three-level factor with levels LOW, NORMAL and HIGH. HREK (heart rate measured by an EKG monitor): a three-level factor with levels LOW, NORMAL and HIGH. HRSA (heart rate / oxygen saturation): a three-level factor with levels LOW, NORMAL and HIGH. PAP (pulmonary artery pressure): a three-level factor with levels LOW, NORMAL and HIGH. SAO2 (arterial oxygen saturation): a three-level factor with levels LOW, NORMAL and HIGH. FIO2 (fraction of inspired oxygen): a two-level factor with levels LOW and NORMAL. PRSS (breathing pressure): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. ECO2 (expelled CO2): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. MINV (minimum volume): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. MVS (minimum volume set): a three-level factor with levels LOW, NORMAL and HIGH. HYP (hypovolemia): a two-level factor with levels TRUE and FALSE. LVF (left ventricular failure): a two-level factor with levels TRUE and FALSE. APL (anaphylaxis): a two-level factor with levels TRUE and FALSE. ANES (insufficient anesthesia/analgesia): a two-level factor with levels TRUE and FALSE. PMB (pulmonary embolus): a two-level factor with levels TRUE and FALSE. INT (intubation): a three-level factor with levels NORMAL, ESOPHAGEAL and ONESIDED. KINK (kinked tube): a two-level factor with levels TRUE and FALSE. DISC (disconnection): a two-level factor with levels TRUE and FALSE. LVV (left ventricular end-diastolic volume): a three-level factor with levels LOW, NORMAL and HIGH. STKV (stroke volume): a three-level factor with levels LOW, NORMAL and HIGH. CCHL (catecholamine): a two-level factor with levels NORMAL and HIGH. ERLO (error low output): a two-level factor with levels TRUE and FALSE. HR (heart rate): a three-level factor with levels LOW, NORMAL and HIGH. ERCA (electrocauter): a two-level factor with levels TRUE and FALSE. SHNT (shunt): a two-level factor with levels NORMAL and HIGH. PVS (pulmonary venous oxygen saturation): a three-level factor with levels LOW, NORMAL and HIGH. ACO2 (arterial CO2): a three-level factor with levels LOW, NORMAL and HIGH. VALV (pulmonary alveoli ventilation): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. VLNG (lung ventilation): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. VTUB (ventilation tube): a four-level factor with levels ZERO, LOW, NORMAL and HIGH. VMCH (ventilation machine): a four-level factor with levels ZERO, LOW, NORMAL and HIGH

37 features

CVPnominal3 unique values
0 missing
PCWPnominal3 unique values
0 missing
HISTnominal2 unique values
0 missing
TPRnominal3 unique values
0 missing
BPnominal3 unique values
0 missing
COnominal3 unique values
0 missing
HRBPnominal3 unique values
0 missing
HREKnominal3 unique values
0 missing
HRSAnominal3 unique values
0 missing
PAPnominal3 unique values
0 missing
SAO2nominal3 unique values
0 missing
FIO2nominal2 unique values
0 missing
PRSSnominal4 unique values
0 missing
ECO2nominal4 unique values
0 missing
MINVnominal4 unique values
0 missing
MVSnominal3 unique values
0 missing
HYPnominal2 unique values
0 missing
LVFnominal2 unique values
0 missing
APLnominal2 unique values
0 missing
ANESnominal2 unique values
0 missing
PMBnominal2 unique values
0 missing
INTnominal3 unique values
0 missing
KINKnominal2 unique values
0 missing
DISCnominal2 unique values
0 missing
LVVnominal3 unique values
0 missing
STKVnominal3 unique values
0 missing
CCHLnominal2 unique values
0 missing
ERLOnominal2 unique values
0 missing
HRnominal3 unique values
0 missing
ERCAnominal2 unique values
0 missing
SHNTnominal2 unique values
0 missing
PVSnominal3 unique values
0 missing
ACO2nominal3 unique values
0 missing
VALVnominal4 unique values
0 missing
VLNGnominal4 unique values
0 missing
VTUBnominal4 unique values
0 missing
VMCHnominal4 unique values
0 missing

19 properties

20000
Number of instances (rows) of the dataset.
37
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
0
Number of numeric attributes.
37
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
13
Number of binary attributes.
35.14
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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