Explainable machine learning prediction of ICU mortality

Explainable machine learning prediction of ICU mortality

Background: There is a variety of mortality prediction models for patients in intensive care units (ICU) to guide appropriate clinical management. Advances in machine learning methodologies typically employ classifiers such as Neural Network and Random Forest which are often regarded by healthcare p...

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Bibliographic Details
Main Authors: Alvin Har Teck Chia, May Sze Khoo, Andy Zhengyi Lim, Kian Eng Ong, Yixuan Sun, Binh P. Nguyen, Matthew Chin Heng Chua, Junxiong Pang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Mortality prediction
Explainable machine learning
ICU
Cox-proportional hazards
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821001593

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http://www.sciencedirect.com/science/article/pii/S2352914821001593

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