alarm | R Documentation |
The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring.
data(alarm)
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
.
The complete BN can be downloaded from https://www.bnlearn.com/bnrepository/.
Beinlich I, Suermondt HJ, Chavez RM, Cooper GF (1989). "The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks". Proceedings of the 2nd European Conference on Artificial Intelligence in Medicine, 247–256.
# load the data.
data(alarm)
# create and plot the network structure.
modelstring = paste0("[HIST|LVF][CVP|LVV][PCWP|LVV][HYP][LVV|HYP:LVF][LVF]",
"[STKV|HYP:LVF][ERLO][HRBP|ERLO:HR][HREK|ERCA:HR][ERCA][HRSA|ERCA:HR][ANES]",
"[APL][TPR|APL][ECO2|ACO2:VLNG][KINK][MINV|INT:VLNG][FIO2][PVS|FIO2:VALV]",
"[SAO2|PVS:SHNT][PAP|PMB][PMB][SHNT|INT:PMB][INT][PRSS|INT:KINK:VTUB][DISC]",
"[MVS][VMCH|MVS][VTUB|DISC:VMCH][VLNG|INT:KINK:VTUB][VALV|INT:VLNG]",
"[ACO2|VALV][CCHL|ACO2:ANES:SAO2:TPR][HR|CCHL][CO|HR:STKV][BP|CO:TPR]")
dag = model2network(modelstring)
## Not run: graphviz.plot(dag)
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