This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1915) Dementia and Cognitive Decline (696) Data Science (357) Information Retrieval (348) Machine Learning (2076) Artificial Intelligence (2129) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41858, first published .
Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study

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

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

Authors of this article:

Shih-Tsung Huang1, 2 Author Orcid Image ;   Fei-Yuan Hsiao3, 4, 5 Author Orcid Image ;   Tsung-Hsien Tsai6 Author Orcid Image ;   Pei-Jung Chen6 Author Orcid Image ;   Li-Ning Peng2, 7 Author Orcid Image ;   Liang-Kung Chen2, 7, 8 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Journals

  1. Chen L. A new chapter in aging research: The launch of Archives of Gerontology and Geriatrics Plus. Archives of Gerontology and Geriatrics 2024;116:105258 View
  2. Chen L. A new chapter in aging research: The launch of Archives of Gerontology and Geriatrics Plus. Archives of Gerontology and Geriatrics Plus 2024;1(1):100001 View
  3. Jayawickrama S, Ranaweera P, Pradeep R, Jayasinghe Y, Senevirathna K, Hilmi A, Rajapakse R, Kanmodi K, Jayasinghe R. Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments. Cancer Reports 2024;7(3) View
  4. Hedges D, Chase M, Farrer T, Gale S. Psychiatric Disease as a Potential Risk Factor for Dementia: A Narrative Review. Brain Sciences 2024;14(7):722 View
  5. Xie X, Huang L, Liu D, Cheng G, Hu F, Zhou J, Zhang J, Han G, Geng J, Liu X, Wang J, Zeng D, Liu J, Nie Q, Song D, Li S, Cai C, Cui Y, Xu L, Ou Y, Chen X, Zhou Y, Chen Y, Li J, Wei Z, Wu Q, Mei Y, Song S, Tan W, Zhao Q, Ding D, Zeng Y. Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning. The American Journal of Geriatric Psychiatry 2025;33(5):487 View
  6. Seixas F, Seixas E, Freitas A. Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods. Applied Soft Computing 2025;171:112754 View
  7. Campagner A, Marconi L, Bianchi E, Arosio B, Rossi P, Annoni G, Lucchi T, Montano N, Cabitza F. Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care. Journal of Biomedical Informatics 2025;165:104799 View
  8. Ribino P, Di Napoli C, Paragliola G, Chicco D, Gasparini F. Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study. BioData Mining 2025;18(1) View
  9. Liao W, Lai H, Lin L, Wu C, Hsiao F, Chen L. Multimorbidity frailty index and clinical outcomes among 42,989 older heart failure patients directly discharged from emergency departments: A nationwide retrospective cohort study. Experimental Gerontology 2025;205:112754 View
  10. Chen L. Transforming healthy aging strategies through precision health approaches. Archives of Gerontology and Geriatrics 2025;139:106030 View

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  1. Azad A, Fahd A, Adhikary A. Feature Fusion for Next-Generation AI. View