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