An Interpretable Model-Based Prediction of Severity and Crucial Factors in Patients with COVID-19

This study established an interpretable machine learning model to predict the severity of coronavirus disease 2019 (COVID-19) and output the most crucial deterioration factors. Clinical information, laboratory tests, and chest computed tomography (CT) scans at admission were collected. Two experienc...

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Detalles Bibliográficos
Autores principales: Zheng, Bowen, Cai, Yong, Zeng, Fengxia, Lin, Min, Zheng, Jun, Chen, Weiguo, Qin, Genggeng, Guo, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930914/
https://www.ncbi.nlm.nih.gov/pubmed/33708997
http://dx.doi.org/10.1155/2021/8840835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930914/
https://www.ncbi.nlm.nih.gov/pubmed/33708997
http://dx.doi.org/10.1155/2021/8840835

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