Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases

Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases

BackgroundPrevious studies have identified COVID-19 risk factors, such as age and chronic health conditions, linked to severe outcomes and mortality. However, accurately predicting severe illness in COVID-19 patients remains challenging, lacking precise methods.ObjectiveThis study aimed to leverage...

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Bibliographic Details
Main Authors: Nguyen Thi Kim Hien, Feng-Jen Tsai, Yu-Hui Chang, Whitney Burton, Phan Thanh Phuc, Phung-Anh Nguyen, Dorji Harnod, Carlos Shu-Kei Lam, Tsung-Chien Lu, Chang-I Chen, Min-Huei Hsu, Christine Y. Lu, Chih-Wei Huang, Hsuan-Chia Yang, Jason C. Hsu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Medicine
Subjects:
COVID-19
severity
prediction model
Taipei Medical University Clinical Research Database
artificial intelligence
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1289968/full

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https://www.frontiersin.org/articles/10.3389/fmed.2023.1289968/full

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