Evaluating machine learning models for sepsis prediction: A systematic review of methodologies

Studies for sepsis prediction using machine learning are developing rapidly in medical science recently. In this review, we propose a set of new evaluation criteria and reporting standards to assess 21 qualified machine learning models for quality analysis based on PRISMA. Our assessment shows that...

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Detalles Bibliográficos
Autores principales: Deng, Hong-Fei, Sun, Ming-Wei, Wang, Yu, Zeng, Jun, Yuan, Ting, Li, Ting, Li, Di-Huan, Chen, Wei, Zhou, Ping, Wang, Qi, Jiang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741489/
https://www.ncbi.nlm.nih.gov/pubmed/35028534
http://dx.doi.org/10.1016/j.isci.2021.103651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741489/
https://www.ncbi.nlm.nih.gov/pubmed/35028534
http://dx.doi.org/10.1016/j.isci.2021.103651

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