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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |