首页|Reports on Machine Learning Findings from University of Pittsburgh Provide New I nsights (Predicting First Time Depression Onset In Pregnancy: Applying Machine L earning Methods To Patientreported Data)
Reports on Machine Learning Findings from University of Pittsburgh Provide New I nsights (Predicting First Time Depression Onset In Pregnancy: Applying Machine L earning Methods To Patientreported Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating from Pittsburgh, Pennsylvania , by NewsRx correspondents, research stated, "To develop a machine learning algo rithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression.Methods A sample of 944 U.S. patient participants from a larger longitudinal observational cohortused a prenatal sup port mobile app from September 2019 to April 2022. Participants self-reported cl inical and social risk factors during first trimester initiation of app use and completed voluntary depression screenings in each trimester." Financial support for this research came from NIH National Institute of Mental H ealth (NIMH).
PittsburghPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRi sk and PreventionUniversity of Pittsburgh
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