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SUMMARY:Individualizing Healthcare with Machine Learning - Professor Suchi
  Saria (Department of Computer Science\, Johns Hopkins University\, USA)
DTSTART;VALUE=DATE-TIME:20181130T153000Z
DTEND;VALUE=DATE-TIME:20181130T163000Z
UID:https://talks.ox.ac.uk/talks/id/93f4d880-b436-4feb-82c8-754026cb67de/
DESCRIPTION:Healthcare is rapidly becoming a data-intensive discipline\, d
 riven by increasing digitization of health data\, novel measurement techno
 logies\, and new policy-based incentives.  Critical decisions about whom a
 nd how to treat can be made more precisely by layering an individual’s d
 ata over that from a population. In my laboratory\, we develop new classes
  of computational diagnostic and treatment planning tools—tools  that te
 ase out subtle information from “messy” observational datasets\, and p
 rovide reliable inferences given detailed context about the individual pat
 ient. I will give example disease areas where such tools are already begin
 ning to show translational impact. In context\, I will describe challenges
  associated with learning models from these data and new techniques that l
 everage probabilistic methods and counterfactual reasoning for tackling th
 e aforementioned challenges. \nSpeakers:\nProfessor Suchi Saria (Departmen
 t of Computer Science\, Johns Hopkins University\, USA)
LOCATION:24-29 St Giles' (Department of Statistics\, Large Lecture Theatre
 )\, 24-29 St Giles' OX1 3LB
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/93f4d880-b436-4feb-82c8-754026cb67de/
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DESCRIPTION:Talk:Individualizing Healthcare with Machine Learning - Profes
 sor Suchi Saria (Department of Computer Science\, Johns Hopkins University
 \, USA)
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