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Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79490, first published .
Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor–Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor–Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study

Development and Validation of Machine Learning Models for Predicting Early Cognitive Decline Using Home Sensor–Derived Behavioral Data: Sensors in-Home for Elder Wellbeing (SINEW) Cohort Study

James Patrick Moon   1 , MBChB, BAO, MHSc ;   Khalid Abdul Jabbar   2 , PhD ;   Tony Chin Ian Tay   2 , BA ;   Laura Tay   3 , MBBS, MMed, MCI ;   Rathi Mahendran   4 , MBBS, MMed ;   Tze Pin Ng   5 , MBBS, PhD ;   Shian Ming Tan   1 , MBBS ;   Wilbur Zhi Hao Koh   6 , MCP ;   Weng Yan Ying   7 , BEng ;   Ah-Hwee Tan   7 , PhD ;   Tih-Shih Lee   8 , MD, PhD ;   Iris Rawtaer   1, 2, 9 , MBBS, MMed, MCI

1 Department of Psychiatry, Sengkang General Hospital, Singapore, Singapore

2 Research Office, Sengkang General Hospital, Singapore, Singapore

3 Department of Geriatric Medicine, Sengkang General Hospital, Singapore, Singapore

4 Mind Care Clinic @ SBF, Mind Science Centre, National University of Singapore, Singapore, Singapore

5 Population Health and Integrated Care Office, Sengkang General Hospital, Singapore, Singapore

6 Department of Psychology, Sengkang General Hospital, Singapore, Singapore

7 School of Computing and Information Systems, Singapore Management University, Singapore, Singapore

8 Laboratory of Neurobehavioral Genomics, Neuroscience and Behavioral Disorders Programme, Duke-NUS Graduate Medical School, Singapore, Singapore

9 SingHealth Duke-NUS Academic Medical Centre, Singapore, Singapore

Corresponding Author: