The 35th CINP World Congress of Neuropsychopharmacology

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[CINP2024] Short Communications

CINP2024 » Short Communications

Short Communications 22
Translational - Others

2024年5月26日(日) 10:45 〜 11:45 Room 8 (G405)

Chair: Shinya Kasai (Tokyo Metropolitan Institute of Medical Science)

[SC22-2] Application of Machine Learning to Large Scale Electronic Health Record Data Predicts Risk to Readmission for Suicide Attempt

*Zachary Aaron Kaminsky1,2,3, Maurice Sani1,4, Patricia Burhunduli1,3, Sharah Mar-Kaminsky5, Robyn J McQuaid1,6, Jennifer Phillips1,4,6 (1. University of Ottawa Institute of Mental Health Research, 2. Department of Psychiatry & Behavioral Sciences, The Johns Hopkins University School of Medicine , 3. Department of Cellular and Molecular Medicine, The University of Ottawa, 4. Department of Psychiatry, University of Ottawa, 5. Department of Psychiatry, Queensway Carleton Hospital, 6. Neuroscience Department, Carleton University )

キーワード:Electronic Health Record, Machine Learning, Suicide Attempt

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