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Usability and Technology Use Studies with Elder Subjects (534) Dementia and Cognitive Decline (919) Machine Learning (3348) Registered Report (1586) Cognition and Information Processing in Human Factors Research (53)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76847, first published .
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Detection of Vascular Mild Cognitive Impairment in Southeast Asia Using the Visual Cognitive Assessment Test: Machine Learning Analysis From the BIOCIS (Biomarkers and Cognition Study, Singapore)

Detection of Vascular Mild Cognitive Impairment in Southeast Asia Using the Visual Cognitive Assessment Test: Machine Learning Analysis From the BIOCIS (Biomarkers and Cognition Study, Singapore)

Authors of this article:

Pricilia Tanoto1 Author Orcid Image ;   Hannah En Ye2 Author Orcid Image ;   Seyed Ehsan Saffari3 Author Orcid Image ;   Yi Jin Leow1 Author Orcid Image ;   Ashwati Vipin1 Author Orcid Image ;   Faith Phemie Hui En Lee1 Author Orcid Image ;   Smriti Ghildiyal1 Author Orcid Image ;   Shan Yao Liew1 Author Orcid Image ;   Adnan Azam Mohammed1 Author Orcid Image ;   Gurveen Kaur Sandhu1 Author Orcid Image ;   Kiirtaara Aravindhan1 Author Orcid Image ;   Gursimar Bhalla1 Author Orcid Image ;   Rasyiqah Binte Shaik Mohamed Salim1 Author Orcid Image ;   Nagaendran Kandiah1, 4, 5 Author Orcid Image
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Journals

  1. Aravindhan K, Vipin A, Bhalla G, Qiu B, Leuk J, Ghildiyal S, Tanoto P, Kandiah N. Data-driven subtypes of mild cognitive impairment and their modifiable determinants: latent profile analysis of the BIOCIS cohort. npj Dementia 2026;2(1) View
  2. Kodama A, Ohnuma T, Sasaki K, Sugawara K, Fujiyama N, Umetsu Y, Ono T, Ota H. Identifying Mild Cognitive Impairment from Routinely Collected Physical, Functional and Psychosocial Measures in Community-Dwelling Older Adults: A Comparative Machine-Learning and Regression Modelling Study in the Northern Japanese ORANGE Registry. Geriatrics 2026;11(5):138 View