Interpretable classifiers for prediction of disability trajectories using a nationwide longitudinal database

OBJECTIVES: To explore the heterogeneous disability trajectories and construct explainable machine learning models for effective prediction of long-term disability trajectories and understanding the mechanisms of predictions among the elderly Chinese at community level. METHODS: This study retrospec...

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Detalles Bibliográficos
Autores principales: Wu, Yafei, Xiang, Chaoyi, Jia, Maoni, Fang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336105/
https://www.ncbi.nlm.nih.gov/pubmed/35902789
http://dx.doi.org/10.1186/s12877-022-03295-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336105/
https://www.ncbi.nlm.nih.gov/pubmed/35902789
http://dx.doi.org/10.1186/s12877-022-03295-x

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