Patient similarity analytics for explainable clinical risk prediction

BACKGROUND: Clinical risk prediction models (CRPMs) use patient characteristics to estimate the probability of having or developing a particular disease and/or outcome. While CRPMs are gaining in popularity, they have yet to be widely adopted in clinical practice. The lack of explainability and inte...

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Detalles Bibliográficos
Autores principales: Fang, Hao Sen Andrew, Tan, Ngiap Chuan, Tan, Wei Ying, Oei, Ronald Wihal, Lee, Mong Li, Hsu, Wynne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247104/
https://www.ncbi.nlm.nih.gov/pubmed/34210320
http://dx.doi.org/10.1186/s12911-021-01566-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247104/
https://www.ncbi.nlm.nih.gov/pubmed/34210320
http://dx.doi.org/10.1186/s12911-021-01566-y

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