Prognostic Model of COVID-19 Severity and Survival among Hospitalized Patients Using Machine Learning Techniques

We conducted a statistical study and developed a machine learning model to triage COVID-19 patients affected during the height of the COVID-19 pandemic in Hong Kong based on their medical records and test results (features) collected during their hospitalization. The correlation between the values o...

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Detalles Bibliográficos
Autores principales: Lodato, Ivano, Iyer, Aditya Varna, To, Isaac Zachary, Lai, Zhong-Yuan, Chan, Helen Shuk-Ying, Leung, Winnie Suk-Wai, Tang, Tommy Hing-Cheung, Cheung, Victor Kai-Lam, Wu, Tak-Chiu, Ng, George Wing-Yiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689804/
https://www.ncbi.nlm.nih.gov/pubmed/36359571
http://dx.doi.org/10.3390/diagnostics12112728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689804/
https://www.ncbi.nlm.nih.gov/pubmed/36359571
http://dx.doi.org/10.3390/diagnostics12112728

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