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SUMMARY:Machine learning for medicine: Predicting\, pre-empting and treati
 ng disease  - Professor Mihaela van der Schaar - John Humphrey Plummer Pro
 fessor\, University of Cambridge
DTSTART:20181010T151500Z
DTEND:20181010T160000Z
UID:TALK110986@talks.cam.ac.uk
CONTACT:jo de bono
DESCRIPTION:In this talk\, I will give an overview of our research work on
  developing state-of-the-art machine learning & AI theory and methods aime
 d at providing actionable intelligence to patients\, clinicians\, medical 
 researchers\, and healthcare providers. This will include a discussion of 
 our work on automated machine learning for the design of models for predic
 ting clinical risk (AutoPrognosis)\, on leveraging multiple datasets to im
 prove target-specific predictive models using Generative Adversarial Netwo
 rks (RadialGAN) and on the fundamental theory and methods for causal infer
 ence and individualized treatment effects. More about our work can be foun
 d at:\nhttp://medianetlab.ee.ucla.edu\n
LOCATION:Lecture Theatre 1\, Computer Laboratory
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