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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ahmed Y. A. Amer, Julie Vranken, Femke Wouters, Dieter Mesotten, Pieter Vandervoort, Valerie Storms, Stijn Luca, Bart Vanrumste, Jean-Marie Aerts
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2019-08-01
Schriftenreihe:Applied Sciences
Schlagworte:
feature engineering
intensive care unit
mortality prediction
hard-margin support vector machines
Online-Zugang:https://www.mdpi.com/2076-3417/9/17/3525
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