Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach

BACKGROUND: Supervised machine learning (ML) is being featured in the health care literature with study results frequently reported using metrics such as accuracy, sensitivity, specificity, recall, or F1 score. Although each metric provides a different perspective on the performance, they remain to...

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Detalles Bibliográficos
Autores principales: Kline, Adrienne, Kline, Theresa, Shakeri Hossein Abad, Zahra, Lee, Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547395/
https://www.ncbi.nlm.nih.gov/pubmed/32975523
http://dx.doi.org/10.2196/20268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547395/
https://www.ncbi.nlm.nih.gov/pubmed/32975523
http://dx.doi.org/10.2196/20268

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