Machine Learning In Health Management Professors in Global

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Reza Saber
University of Texas at Austin United States of America
artificial intelligence in medicine
robotics in healthcare
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César De La Fuente
University of Pennsylvania United States of America
artificial intelligence in medicine
machine biology
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Laura Derry
Stanford University United States of America
machine learning
artificial intelligence in medicine
decision-making in healthcare
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Adnan Custovic
Imperial College London United Kingdom
machine learning in allergy research
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Rodrigo Freitas
Massachusetts Institute of Technology United States of America
machine learning in materials
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Kerstin Sahlin
Uppsala University Sweden
governance management in health care
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Jean-frederic Colombel
Aalborg University Denmark
predictive models in healthcare
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Graeme Currie
Warwick Business School United Kingdom
management learning
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Llandis Barratt-pugh
University of Western Australia Australia
management learning
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Christopher Phillips
Carnegie Mellon University United States of America
algorithms in healthcare
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Shalini Ahuja
King's College London United Kingdom
health management information systems
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Kilian Oberleithner
Technical University of Berlin Germany
machine learning in fluid simulation
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Long Chen
Aarhus University Denmark
management modeling
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Majid Ghaderi
University of Calgary Canada
application of machine learning
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Louise Devantier
Aalborg University Denmark
healthcare data management
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Mette Toft
University of Copenhagen Denmark
healthcare data management
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Danielle Dowman
Monash University Australia
healthcare data management
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Craig Taplin
University of Western Australia Australia
healthcare data management
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Lauren Lee
University College London United Kingdom
machine learning in chemical synthesis
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
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