Research Article

Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department

Table 5

Correlation coefficients of the attributes.

AttributeCorrelation coefficientCorrelation

Day0.03902Low
Month0.04942Low
Year0.01453Low
Day0.06091Low
Gender0.02381Low
Insurance0.03442Low
Mode of arrival0.01844Low
Immediate treatment0.06235Low
Triage level0.06123Low
Medication0.17187High
Consultation0.08824Low
CBC0.37436High
KFT0.30211High
LFT0.29638High
Cardiac enzymes0.1144Low
RBS0.07796Low
CRB0.24626High
Amylase0.15416High
Lipase0.19014High
Urine analysis0.1898High
Stool analysis0.01062Low
ABGS0.06144Low
PT, INR0.18187High
PTT0.10291Low
Urine culture0.10954Low
Urea0.15511High
Creatinine0.15416High
Troponin 10.04406Low
Xray0.13779High
Ultrasound0.13197High
CT scan0.04266Low
MRI0.11438Low
Other tests0.18535High
BMP0.34567High
Age0.08461Low
Number of nurses0.00505Low
Crowding0.0713Low
Lockdown0.0645Low