Using syndrome mining with the Health and Retirement Study to identify the deadliest and least deadly frailty syndromes

Syndromes are defined with signs or symptoms that occur together and represent conditions. We use a data-driven approach to identify the deadliest and most death-averse frailty syndromes based on frailty symptoms. A list of 72 frailty symptoms was retrieved based on three frailty indices. We used da...

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Detalles Bibliográficos
Autores principales: Chao, Yi-Sheng, Wu, Chao-Jung, Wu, Hsing-Chien, Hsu, Hui-Ting, Tsao, Lien-Cheng, Cheng, Yen-Po, Lai, Yi-Chun, Chen, Wei-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142157/
https://www.ncbi.nlm.nih.gov/pubmed/32269245
http://dx.doi.org/10.1038/s41598-020-60869-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142157/
https://www.ncbi.nlm.nih.gov/pubmed/32269245
http://dx.doi.org/10.1038/s41598-020-60869-8

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