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Table 2 The correlation coefficients between each feature and each outcome

From: Implementation of a machine learning application in preoperative risk assessment for hip repair surgery

Features

Outcome

Composite adverse

ICU admission

Prolonged hospital stay

Age

0.054

0.034

-0.080

Sex

0.033

0.040

0.086

Body Mass Index

-0.014

-0.028

0.031

Smoking

0.021

0.006

0.039

Emergency

0.021

0.003

-0.115

ASA-PS

0.094

0.158

0.146

General anesthesia

-0.014

0.006

0.024

CVC

0.119

0.154 

0.148

Arterial line

0.113

0.112

0.080

ALT

0.029

0.055

0.144

eGFR

-0.025

-0.010

0.127

Hemoglobin

-0.102

-0.110

-0.103

aPTT

0.078

0.060

0.052

Prothrombin time

0.096

0.088

0.106

Platelet

-0.056

-0.016

0.120

Respiratory disease

0.106

0.106

0.103

Diabetes Mellitus

0.025

0.014

-0.026

Hypertension

0.033

0.002

-0.065

Liver disease

0.031

0.030

0.038

Malignancy

0.061

0.031

0.028

Heart disease

0.050

0.050

0.014

CKD stage

0.031

0.023

-0.097

Stroke

0.053

0.041

-0.009

Dementia

0.083

0.071

0.028

  1. Abbreviations: ASA-PS American Society of Anesthesiologist-physical status, CVC Central venous catheter, ALT Alanine aminotransferase, eGFR Estimated glomerular filtration rate, aPTT activated partial thromboplastin time, CKD Chronic kidney disease