Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran

Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran

Abstract Background and Aims Like early diagnosis, predicting the survival of patients with Coronavirus Disease 2019 (COVID‐19) is of great importance. Survival prediction models help doctors be more cautious to treat the patients who are at high risk of dying because of medical conditions. This stu...

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Bibliographic Details
Main Authors: Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:Health Science Reports
Subjects:
COVID‐19
decision tree
K‐nearest neighbors
machine learning
Naive Bayes
random forest
Online Access:https://doi.org/10.1002/hsr2.1212

Internet

https://doi.org/10.1002/hsr2.1212

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