Machine Learning for Healthcare: Steps Towards a Personalized Approach
Monday, January 25, 2021 11am
About this Event
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Machine learning advances are opening new routes to more precise healthcare, from the discovery of disease subtypes for stratified interventions to the development of personalised interactions supporting self-care between clinic visits. This offers an exciting opportunity for machine learning techniques to impact healthcare in a meaningful way. Within the healthcare domain, machine learning for mental healthcare is an under-investigated area and yet a potentially highly impactful area of research. In this talk, Danielle will present recent work on machine learning to enable a more personalised approach to mental healthcare, whereby information can be aggregated from multiple sources within a unified modelling framework. She will present applications from both mental health and respiratory diseases.