Mortality prediction in critically ill patients using machine learning score

Scoring tools are often used to predict patient severity of illness and mortality in intensive care units (ICU). Accurate prediction is important in the clinical setting to ensure efficient management of limited resources. However, studies have shown that the scoring tools currently in use are limit...

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Veröffentlicht in:	IOP conference series. Materials Science and Engineering 2020-04, Vol.788 (1), p.12029
Hauptverfasser:	Dzaharudin, F, Ralib, A M, Jamaludin, U K, Nor, M B M, Tumian, A, Har, L C, Ceng, T C
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decision trees Machine learning Mortality Mortality prediction Patients SAPS II score Sensitivity Severity SOFA score
Online-Zugang:	Volltext
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