January 6, 2017Open Access

A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis

Structured PICO

Does a machine learning model improve the prediction of mortality after elective cardiac surgery compared to EuroSCORE II?

P

Population

Patients undergoing elective cardiac surgery

I

Intervention

Machine learning model

C

Comparator

EuroSCORE II

O

Outcome

Mortality after elective cardiac surgeryhard clinical

A machine learning model demonstrates superior accuracy compared to the standard EuroSCORE II in predicting mortality following elective cardiac surgery.

Abstract

According to ROC and DCA, machine learning model is more accurate in predicting mortality after elective cardiac surgery than EuroSCORE II. These results confirm the use of machine learning methods in the field of medical prediction.

A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis

Structured PICO

Abstract

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