AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes

BACKGROUND: Risk prediction models are useful tools in clinical decision-making which help with risk stratification and resource allocations and may lead to a better health care for patients. AutoScore is a machine learning–based automatic clinical score generator for binary outcomes. This study aim...

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Detalles Bibliográficos
Autores principales: Saffari, Seyed Ehsan, Ning, Yilin, Xie, Feng, Chakraborty, Bibhas, Volovici, Victor, Vaughan, Roger, Ong, Marcus Eng Hock, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636613/
https://www.ncbi.nlm.nih.gov/pubmed/36333672
http://dx.doi.org/10.1186/s12874-022-01770-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636613/
https://www.ncbi.nlm.nih.gov/pubmed/36333672
http://dx.doi.org/10.1186/s12874-022-01770-y

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