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

PICO estructurado

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

Población

Patients undergoing elective cardiac surgery

Intervención

Machine learning model

Comparador

EuroSCORE II

Resultado

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.

Resumen

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.

Me gusta

Guardar

Ver artículo completo