Description

Our research team has secured seed funding of $5000 to explore the potential of machine learning in improving the detection of unusual behaviour among care-based older adults. We plan to evaluate the performance of our proposed method by leveraging publicly available datasets and comparing them with state-of-the-art techniques. This novel approach has the potential to aid caregivers and medical staff in identifying and addressing potential health issues among this vulnerable population based on their historical activities.
Degree of recognitionInternational
Granting OrganisationsData Science Research Unit

    Fingerprint