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Colin G Walsh

Showing results (41-50 of 79) with videos related to

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JAMIA Open|July 2, 2020
Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligenceColin G Walsh, Beenish Chaudhry, Prerna Dua, et al.
Neurourology and Urodynamics|October 10, 2017
Psychosocial co-morbidities in Interstitial Cystitis/Bladder Pain syndrome (IC/BPS): A systematic reviewLindsey C McKernan, Colin G Walsh, William S Reynolds, et al.
JAMIA Open|March 24, 2021
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attemptsFuchiang R Tsui, Lingyun Shi, Victor Ruiz, et al.
Molecular Psychiatry|January 6, 2019
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicideDouglas M Ruderfer, Colin G Walsh, Matthew W Aguirre, et al.
American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists|July 5, 2020
Demystifying artificial intelligence in pharmacyScott D Nelson, Colin G Walsh, Casey A Olsen, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2025
Generalizability of Risk Models for Treatment-Resistant Depression Across Three Health SystemsColin G Walsh, Michael Ripperger, Thomas H McCoy, et al.
Pain|May 31, 2019
DNA methylation profiles are associated with complex regional pain syndrome after traumatic injuryStephen Bruehl, Eric R Gamazon, Thomas Van de Ven, et al.
JAMA Psychiatry|May 17, 2023
Evaluation of the Risk Identification for Suicide and Enhanced Care Model in a Native American CommunityEmily E Haroz, Novalene Goklish, Colin G Walsh, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military SettingCarrie Reale, Laurie L Novak, Katelyn Robinson, et al.
JAMA Network Open|May 13, 2022
Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among AdultsDrew Wilimitis, Robert W Turer, Michael Ripperger, et al.
Pageof 8

Showing results (41-50 of 79) with videos related to

Sort By:
Pageof 8
JAMIA Open|July 2, 2020
Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligenceColin G Walsh, Beenish Chaudhry, Prerna Dua, et al.
Neurourology and Urodynamics|October 10, 2017
Psychosocial co-morbidities in Interstitial Cystitis/Bladder Pain syndrome (IC/BPS): A systematic reviewLindsey C McKernan, Colin G Walsh, William S Reynolds, et al.
JAMIA Open|March 24, 2021
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attemptsFuchiang R Tsui, Lingyun Shi, Victor Ruiz, et al.
Molecular Psychiatry|January 6, 2019
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicideDouglas M Ruderfer, Colin G Walsh, Matthew W Aguirre, et al.
American Journal of Health-System Pharmacy : AJHP : Official Journal of the American Society of Health-System Pharmacists|July 5, 2020
Demystifying artificial intelligence in pharmacyScott D Nelson, Colin G Walsh, Casey A Olsen, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2025
Generalizability of Risk Models for Treatment-Resistant Depression Across Three Health SystemsColin G Walsh, Michael Ripperger, Thomas H McCoy, et al.
Pain|May 31, 2019
DNA methylation profiles are associated with complex regional pain syndrome after traumatic injuryStephen Bruehl, Eric R Gamazon, Thomas Van de Ven, et al.
JAMA Psychiatry|May 17, 2023
Evaluation of the Risk Identification for Suicide and Enhanced Care Model in a Native American CommunityEmily E Haroz, Novalene Goklish, Colin G Walsh, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military SettingCarrie Reale, Laurie L Novak, Katelyn Robinson, et al.
JAMA Network Open|May 13, 2022
Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among AdultsDrew Wilimitis, Robert W Turer, Michael Ripperger, et al.
Pageof 8