Artificial Intelligence for the Next Generation of Healthcare Interventions
Communication devices and connectivity are increasingly ubiquitous, contributing to a rapidly-expanding infrastructure. This development promises to tackle some of the most challenging issues facing society today – how healthcare is delivered to an aging and expanding population. Each year, millions of people worldwide suffer from chronic long-term diseases, such as diabetes, heart disease, and kidney malfunction, with limited access to appropriate treatment. Machine learning plays a key role in determining how effective healthcare will be delivered to future generations. Reliable continuous tracking of patient health can provide accurate early warning of health deterioration. “Big data” (e.g.: electronic health records and data from wearable devices for monitoring chronic diseases and well-being) are now being collected, which cover the entirety of patient care, throughout the life of a patient. It is therefore necessary to develop novel machine learning methods to exploit the contents of these large complex datasets by performing robust, automated inference at very large scale.
Date: 14 June 2019, 11:00
Venue: Wolfson College, Linton Road OX2 6UD
Venue Details: Florey Room
Speaker: Dr. Tingting Zhu (University of Oxford)
Organisers: Stephen Suryasentana (University of Oxford), Yaling Hsiao (University of Oxford )
Organiser contact email address: stephen.suryasentana@eng.ox.ac.uk
Part of: 1st Oxford Cross-disciplinary Applications of Machine Learning Workshop 2019
Topics:
Booking required?: Not required
Audience: Public
Editor: Yaling Hsiao