Prognostic Outcome Prediction Professors in Global

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Neil Lewis
Cornell University Netherlands
health outcomes
environmental outcomes
educational outcomes
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Filip Schlembach
Maastricht University Netherlands
predictive uncertainty quantification
conformal prediction
time series forecasts
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Magnus Ross
University College London United Kingdom
probabilistic machine learning
time series forecasting
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Donna Ankerst
Technical University of Munich Germany
clinical risk prediction
health outcomes
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Bryce Reeve
Duke University Singapore
clinical outcome assessments
patient-reported outcomes
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Nadereh Pourat
University of California Los Angeles United States of America
program outcome evaluation
patient outcomes
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Henrik Boström
KTH Royal Institute of Technology Sweden
probabilistic machine learning
conformal prediction
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Glen Martin
University of Manchester United Kingdom
multivariate risk prediction
clinical prediction models
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Sun Sun
Umeå University Sweden
outcomes research
patient-reported outcomes
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Lyle Ungar
University of Pennsylvania United States of America
prediction markets
forecasting methods
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Erik Larsson
Linköping University Sweden
probabilistic models
predictive spatio-temporal models
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Vijaya Gothwal
University of New South Wales Australia
outcomes research
patient-reported outcome measurement
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Nick Pretnar
Carnegie Mellon University United States of America
health outcomes
environmental outcomes
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Jennifer Jennings
Princeton University United States of America
health outcomes
educational outcomes
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Kimberley Mak
Boston University United States of America
disparity outcomes research
patient-reported outcomes
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Mark Hlatky
Stanford University United States of America
clinical outcome research
patient outcomes research
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Gard Helle
University of Southern Denmark Denmark
climate predictions
weather predictions
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Theresa Coles
Duke University Singapore
patient-reported outcomes
clinical outcomes assessments
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Thomas Fanshawe
University of Oxford United Kingdom
clinical risk prediction
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Nick Taylor
University of Bristol United Kingdom
forecasting risk
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Luca Carlone
Massachusetts Institute of Technology United States of America
probabilistic inference
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