Cargando…
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements
Severity prediction of COVID-19 remains one of the major clinical challenges for the ongoing pandemic. Here, we have recruited a 144 COVID-19 patient cohort, resulting in a data matrix containing 3,065 readings for 124 types of measurements over 52 days. A machine learning model was established to p...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225590/ https://www.ncbi.nlm.nih.gov/pubmed/34188785 http://dx.doi.org/10.1016/j.csbj.2021.06.022 |