SINEW
Publications
Publications
Budhitama Subagdja, Ah-Hwee Tan, Kenneth Kwok, and Iris Rawtaer. Interpretable Machine Learning for Personalized Profiling of Mild Cognitive Impairment from Daily Activities. The Nineteenth International Conference on Health Informatics (HEALTHINF 2026). Accepted for Publication.
Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, and Iris Rawtaer. Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection. The Thirty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-26). Accepted for Publication.
Iris Rawtaer, K B A Jabbar, Budhitama Subagdja, E Saffari, Ah-Hwee Tan. 299. Sensors In-home for Elder Wellbeing (SINEW): Digital Phenotyping and Artificial Intelligence for Early Detection of Dementia. International Journal of Neuropsychopharmacology, Vol. 2, Issue Supp. 2, 2025, pp ii67-ii68 https://doi.org/10.1093/ijnp/pyaf052.136
Ah-Hwee Tan, Weng-Yan Ying, Budhitama Subagdja, Anni Huang, Shanthoshigaa, Tony Chin-Ian Tay and Iris Rawtaer. Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence. 2nd IEEE International Conference on Artificial Intelligence (CAI 2024), Singapore, 25-27 June 2024. [PDF]
Tony Chin Ian Tay, Ah-Hwee Tan, Rathi Mahendran, Tze Pin Ng, and Iris Rawtaer. In-Home Sensors for Monitoring Cognitive Decline: A Community-Based Study Protocol Paper. Alzheimer’s Association International Conference Neuroscience Next, April 22-25, 2024. (Poster)
Seng-Khoon Teh, Iris Rawtaer and Ah-Hwee Tan. Predictive Self-Organizing Neural Networks for In-Home Detection of Mild Cognitive Impairment. Expert Systems With Applications., Vol. 205, 2022, https://doi.org/10.1016/j.eswa.2022.117538. [PDF]
Seng-Khoon Teh, Iris Rawtaer, Hwee Pink Tan. Predictive Accuracy of Digital Biomarker Technologies for Detection of Mild Cognitive Impairment and Pre-Frailty Amongst Older Adults: A Systematic Review and Meta-Analysis. IEEE Journal of Biomedical and Health Informatics 26(8), 2022, pp.3638-3648, https://doi.org/10.1109/jbhi.2022.3185798