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Medical Care Research and Review : MCRR|June 10, 2022
Designing Equitable Health Care Outreach Programs From Machine Learning Patient Risk ScoresChristopher A Hane, Melanie WassermanHealth Services Research|February 23, 2016
Development and Validation of HealthImpact: An Incident Diabetes Prediction Model Based on Administrative DataRozalina G McCoy, Vijay S Nori, Steven A Smith, et al.JMIR Medical Informatics|June 4, 2020
Predicting Onset of Dementia Using Clinical Notes and Machine Learning: Case-Control StudyChristopher A Hane, Vijay S Nori, William H Crown, et al.Plos One|September 24, 2020
Deep neural network models for identifying incident dementia using claims and EHR datasetsVijay S Nori, Christopher A Hane, Yezhou Sun, et al.Plos One|July 6, 2019
Identifying incident dementia by applying machine learning to a very large administrative claims datasetVijay S Nori, Christopher A Hane, David C Martin, et al.Journal of Managed Care Pharmacy : JMCP|August 30, 2011
All-cause and incremental per patient per year cost associated with chronic hepatitis C virus and associated liver complications in the United States: a managed care perspectiveCarrie McAdam-Marx, Lisa J McGarry, Christopher A Hane, et al.Eclinicalmedicine|December 8, 2021
Effectiveness of common antidepressants: a post market release studyFarrokh Alemi, Hua Min, Melanie Yousefi, et al.Cureus|November 9, 2022
Procedure for Organizing a Post-FDA-approval Evaluation of AntidepressantsFarrokh Alemi, Hua Min, Melanie Yousefi, et al.Alzheimer'S & Dementia (New York, N. Y.)|December 28, 2019
Machine learning models to predict onset of dementia: A label learning approachVijay S Nori, Christopher A Hane, William H Crown, et al.Pageof 1