Predicting mild cognitive impairment through ambient sensing and artificial intelligence

• المؤلفون الرئيسيون: TAN, Ah-hwee, YING, Weng Yan, SUBAGDJA, Budhitama, HUANG, Anni, D, Shanthoshigaa, TAY, Tony Chin-Ian, RAWTAER, Iris
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: biomarker extraction; mild cognitive impairment; Predictive modelling; Artificial Intelligence and Robotics; Health Information Technology
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/9277; https://ink.library.smu.edu.sg/context/sis_research/article/10277/viewcontent/MildCognitiveImpairment_CAI_2024_av.pdf

This paper reports an emerging application leveraging ambient and artificial intelligence techniques for in-home sensing and cognitive health assessment. The application involves a prospective longitudinal study, wherein non-pervasive sensing devices are installed in homes of over 63 real users unde...