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Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers.
Bentley, Kate H; Zuromski, Kelly L; Fortgang, Rebecca G; Madsen, Emily M; Kessler, Daniel; Lee, Hyunjoon; Nock, Matthew K; Reis, Ben Y; Castro, Victor M; Smoller, Jordan W.
Affiliation
  • Bentley KH; Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
  • Zuromski KL; Department of Psychology, Harvard University, Cambridge, MA, United States.
  • Fortgang RG; Harvard Medical School, Boston, MA, United States.
  • Madsen EM; Department of Psychology, Harvard University, Cambridge, MA, United States.
  • Kessler D; Department of Psychology, Harvard University, Cambridge, MA, United States.
  • Lee H; Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
  • Nock MK; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
  • Reis BY; Department of Psychology, Harvard University, Cambridge, MA, United States.
  • Castro VM; Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
  • Smoller JW; Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States.
JMIR Form Res ; 6(3): e30946, 2022 Mar 11.
Article in En | MEDLINE | ID: mdl-35275075
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: JMIR Form Res Year: 2022 Document type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Language: En Journal: JMIR Form Res Year: 2022 Document type: Article Affiliation country: United States