From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction.
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| Title: | From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction. |
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| Authors: | Burkhardt HA; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA., Ding X; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA., Kerbrat A; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA., Comtois KA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA., Cohen T; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 May 19; Vol. 30 (6), pp. 1068-1078. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocad062 |
