Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements

Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements

Mortality prediction for intensive care unit (ICU) patients is a challenging problem that requires extracting discriminative and informative features. This study presents a proof of concept for exploring features that can provide clinical insight. Through a feature engineering approach, it is attemp...

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Bibliographic Details
Main Authors: Ahmed Y. A. Amer, Julie Vranken, Femke Wouters, Dieter Mesotten, Pieter Vandervoort, Valerie Storms, Stijn Luca, Bart Vanrumste, Jean-Marie Aerts
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
feature engineering
intensive care unit
mortality prediction
hard-margin support vector machines
Online Access:https://www.mdpi.com/2076-3417/9/17/3525

Internet

https://www.mdpi.com/2076-3417/9/17/3525

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