首页|New Findings Reported from University of Michigan Describe Advances in Machine L earning (Using Machine Learning With Intensive Longitudinal Data To Predict Depr ession and Suicidal Ideation Among Medical Interns Over Time)
New Findings Reported from University of Michigan Describe Advances in Machine L earning (Using Machine Learning With Intensive Longitudinal Data To Predict Depr ession and Suicidal Ideation Among Medical Interns Over Time)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Ann Arbor, Michigan,by NewsRx journalists, research stated, "Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (M L) models to predict risk for depression and suicide has increased in recent yea rs. However, these studies often vary considerably in length, ML methods used, a nd sources of data." Financial supporters for this research include NIH National Institute of Mental Health (NIMH), NIH National Center for Advancing Translational Sciences (NCATS), NIH National Center for Advancing Translational Sciences (NCATS), NIH National Institute of Mental Health (NIMH).
Ann ArborMichiganUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnivers ity of Michigan
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