Patient Survival Prediction with Machine Learning Algorithms-Reference-Cited by-同舟云学术

Patient Survival Prediction with Machine Learning Algorithms

Published:2020-12-27 Issue: Volume: Page:93-96
ISSN:2667-6893
Container-title:Journal of Intelligent Systems with Applications
language:en
Short-container-title:J Intell Syst Appl

Author:

Selek Mustafa Berkant¹,Egeli Saadet Sena²,Isler Yalcin²

Affiliation:

1. Ege University

2. Izmir Katip Celebi University

Abstract

In this study, the intensive care unit patient survival is predicted by machine learning algorithms according to the examinations performed in the first 24 hours. The data of intensive care patients collected from approximately two hundred hospitals over a period of one year were used. Algorithms are run in Python environment. Machine learning models were compared with the Cross-Validation method, and the random forest algorithm is used. The model made the prediction with 92,53% accuracy rate.

Publisher

Islerya Medikal ve Bilisim Teknolojileri

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