Cargando…
Identifying mortality factors from Machine Learning using Shapley values – a case of COVID19
In this paper we apply a series of Machine Learning models to a recently published unique dataset on the mortality of COVID19 patients. We use a dataset consisting of blood samples of 375 patients admitted to a hospital in the region of Wuhan, China. There are 201 patients who survived hospitalisati...
Autores principales: | Smith, Matthew, Alvarez, Francisco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948528/ https://www.ncbi.nlm.nih.gov/pubmed/33723478 http://dx.doi.org/10.1016/j.eswa.2021.114832 |
Ejemplares similares
-
The Shapley value: essays in honor of Lloyd S. Shapley
por: Roth, Alvin E
Publicado: (1988) -
Shapley variable importance cloud for interpretable machine learning
por: Ning, Yilin, et al.
Publicado: (2022) -
The Shapley value of regression portfolios
por: Shalit, Haim
Publicado: (2020) -
Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME
por: Laatifi, Mariam, et al.
Publicado: (2023) -
Dynamic Shapley value and dynamic Nash bargaining
por: W, David
Publicado: (2018)