A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support by Brian Connolly, K. Bretonnel Cohen, Daniel Santel, Ulya Bayram, John Pestian

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Toward Suicidal Ideation Detection with Lexical Network Features and Machine Learning by Ulya Bayram, William Lee, Daniel Santel, Ali Minai, Peggy Clark, Tracy Glauser, John Pestian

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Improving Detection of Rapid Cystic Fibrosis Disease Progression–Early Translation of a Predictive Algorithm Into a Point-of-Care Tool by Rhonda D. Szczesniak, Cole Brokamp, Weiji Su, Gary L. Mcphail, John Pestian, John P. Clancy

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Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study by Lara J Kanbar, Benjamin Wissel, Yizhao Ni, Nathan Pajor, Tracy Glauser, John Pestian, Judith W Dexheimer

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Using iterative random forest to find geospatial environmental and Sociodemographic predictors of suicide attempts by Mirko Pavicic, Angelica M. Walker, Kyle A. Sullivan, John Lagergren, Ashley Cliff, Jonathon Romero, Jared Streich, Michael R. Garvin, John Pestian, John Pestian, Benjamin McMahon, David W. Oslin, David W. Oslin, Jean C. Beckham, Jean C. Beckham, Jean C. Beckham, Nathan A. Kimbrel, Nathan A. Kimbrel, Nathan A. Kimbrel, Nathan A. Kimbrel, Daniel A. Jacobson

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High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning by Sayera Dhaubhadel, Kumkum Ganguly, Ruy M. Ribeiro, Judith D. Cohn, James M. Hyman, Nicolas W. Hengartner, Beauty Kolade, Anna Singley, Tanmoy Bhattacharya, Patrick Finley, Drew Levin, Haedi Thelen, Kelly Cho, Lauren Costa, Yuk-Lam Ho, Amy C. Justice, John Pestian, Daniel Santel, Rafael Zamora-Resendiz, Silvia Crivelli, Suzanne Tamang, Susana Martins, Jodie Trafton, David W. Oslin, Jean C. Beckham, Nathan A. Kimbrel, Million Veteran Program Suicide Exemplar Work Group, Benjamin H. McMahon

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