Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

We aimed to propose a mortality risk prediction model using on-admission clinical and laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three general hospitals in Tehran. Clinical and laboratory values were gathered on admission. Six different machine learning model...

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Detalles Bibliográficos
Autores principales: Barough, Siavash Shirzadeh, Safavi-Naini, Seyed Amir Ahmad, Siavoshi, Fatemeh, Tamimi, Atena, Ilkhani, Saba, Akbari, Setareh, Ezzati, Sadaf, Hatamabadi, Hamidreza, Pourhoseingholi, Mohamad Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911952/
https://www.ncbi.nlm.nih.gov/pubmed/36765157
http://dx.doi.org/10.1038/s41598-023-28943-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911952/
https://www.ncbi.nlm.nih.gov/pubmed/36765157
http://dx.doi.org/10.1038/s41598-023-28943-z

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