Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data

Nationwide population-based cohort provides a new opportunity to build an automated risk prediction model based on individuals’ history of health and healthcare beyond existing risk prediction models. We tested the possibility of machine learning models to predict future incidence of Alzheimer’s dis...

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Detalles Bibliográficos
Autores principales: Park, Ji Hwan, Cho, Han Eol, Kim, Jong Hun, Wall, Melanie M., Stern, Yaakov, Lim, Hyunsun, Yoo, Shinjae, Kim, Hyoung Seop, Cha, Jiook
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/PMC7099065/
https://www.ncbi.nlm.nih.gov/pubmed/32258428
http://dx.doi.org/10.1038/s41746-020-0256-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099065/
https://www.ncbi.nlm.nih.gov/pubmed/32258428
http://dx.doi.org/10.1038/s41746-020-0256-0

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