Machine Learning In Pain Assessment Professors in Global

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Kristian Petersen
Aalborg University Denmark
pain measurement
pain science
pain mechanisms
personalized mechanistic pain medicine
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Huan-ji Dong
Linköping University Sweden
chronic pain management
biopsychosocial model of pain
interdisciplinary pain rehabilitation
nutrition in pain management
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Shengping Zou
New York University United States of America
pain management
interventional pain management
multimodal pain management
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Dalia Elmofty
University of Chicago United States of America
pain management
interventional pain management
chronic pain management
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David Kennedy
University of Victoria Canada
learning and pain responses
pain perception
cognitive factors in pain
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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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Abdullah Qatu
Stanford University United States of America
pain management
interventional pain management
psychological strategies in pain management
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
interactive machine learning
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Hamid Alinejad-rokny
University of New South Wales Australia
machine learning
statistical machine learning
biomedical machine learning
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Magdalena Anitescu
University of Chicago United States of America
pain management
interventional pain management
cancer pain management
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
machine teaching
deep learning
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
machine vision
deep learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
healthcare machine learning
behavioral machine learning
healthy machine learning
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
healthcare machine learning
behavioral machine learning
healthy machine learning
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
deep learning
large scale machine learning
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Kenneth Craig
University of British Columbia Canada
machine learning in pain assessment
pain assessment
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Emma Briggs
King's College London United Kingdom
pain assessment
pain management
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Rosemary Polomano
University of Pennsylvania United States of America
pain assessment and management
pain management
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Lenita Lindgren
Umeå University Sweden
pain assessment
machine learning
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Ole Andersen
Aalborg University Denmark
pain assessment
machine learning
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