Machine Learning In Health Outcomes Professors in Global

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Chitra Dinakar
Stanford University United States of America
e-health in patient outcomes
clinical outcomes research
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Christopher Dye
University of Oxford United Kingdom
big data in health
decision-making in health
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Mark Hlatky
Stanford University United States of America
patient outcomes research
clinical outcome research
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Bryce Reeve
Duke University Singapore
patient-reported outcomes
clinical outcome assessments
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Scott Delp
Stanford University United States of America
big data in health
human performance optimization
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
integration of machine learning and optimization
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Sun Sun
Umeå University Sweden
patient-reported outcomes
outcomes research
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Theresa Coles
Duke University Singapore
patient-reported outcomes
clinical outcomes assessments
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Vijaya Gothwal
University of New South Wales Australia
patient-reported outcome measurement
outcomes research
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Subham Sahoo
Aalborg University Denmark
probabilistic machine learning
scientific machine learning
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Maragatha Kuchibhatla
Duke University Singapore
machine learning in health outcomes
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Walter Roberts
Yale University United States of America
machine learning in health
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Gretchen Bandoli
University of California, San Diego United States of America
machine learning in health research
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Goylette Chami
University of Oxford United Kingdom
machine learning in health research
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Douglas Demetrick
University of Calgary Canada
machine learning in health data
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Tanzeem Choudhury
Cornell University Netherlands
machine learning for health
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Amitha Domalpally
University of Wisconsin–Madison United States of America
machine learning algorithms in healthcare
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Peter Kim
Stanford University United States of America
machine learning in biology
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Sarah Beecroft
University of Western Australia Australia
machine learning in biology
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Krishna Shrinivas
Northwestern University United States of America
machine learning in biology
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Sarina Yang
Cornell University Netherlands
machine learning in clinical laboratory
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