Machine Learning for Healthcare 2019 keynote
Event type: keynote presentation
Speaker: Mihaela van der Schaar
Date and time: August 10, 2019 at 12:00 BST
Title: Learning Engines for Healthcare: Transforming Medicine through AI-enabled Healthcare Pathways
Abstract: In this talk, I will discuss recent machine learning and AI theory, methods, algorithms and systems which we developed in our lab to understand the basis of health and disease, to catalyze clinical research, to support clinical decisions through individualized medicine, to inform clinical pathways, to better utilize resources & reduce costs and to inform public health.
To do this, we are creating what I call Learning Engines for Healthcare (LEH’s). An LEH is an integrated ecosystem that uses machine learning, AI and operations research to provide clinical insights and healthcare intelligence to all the stakeholders (patients, clinicians, hospitals, administrators). In contrast to an Electronic Health Record, which provides a static, passive, isolated display of information, an LEH provides dynamic, active, holistic & individualized display of information including alerts.
In this talk, I will focus on 3 steps in the development of LEH’s: 1. Building a comprehensive model that accommodates irregularly sampled, temporally correlated, informatively censored and non-stationary processes in order to understand and predict the longitudinal trajectories of diseases. 2. Establishing the theoretical limits of causal inference and using what has been established to create a new approach that makes it possible to better estimate individualized treatment effects. 3. Using Machine Learning itself to automate the design and construction of entire pipelines of Machine Learning algorithms for risk prediction, screening, diagnosis and prognosis.