Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study

Huang, Shih-TsungShih-TsungHuangFEI-YUAN HSIAOTsai, Tsung-HsienTsung-HsienTsaiChen, Pei-JungPei-JungChenPeng, Li-NingLi-NingPengChen, Liang-KungLiang-KungChen2024-03-292024-03-292023-07-261438-8871https://scholars.lib.ntu.edu.tw/handle/123456789/641663Dementia development is a complex process in which the occurrence and sequential relationships of different diseases or conditions may construct specific patterns leading to incident dementia.encardiovascular; cluster analysis; condition; data; data set; dementia; development; disease; infection; machine learning; mental conditions; mobility; neuropsychiatric; symptoms[SDGs]SDG3Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Studyjournal article10.2196/41858374940812-s2.0-85165717412https://api.elsevier.com/content/abstract/scopus_id/85165717412