Deep learning models can predict violence and threats against healthcare providers using clinical notes.

Autor: Dobbins NJ; Biomedical Informatics & Data Science, Johns Hopkins University, Baltimore, MD, USA. nic.dobbins@jhu.edu.; Biomedical Informatics & Medical Education, University of Washington, Seattle, WA, USA. nic.dobbins@jhu.edu., Chipkin J; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA., Byrne T; Analytics, UW Medicine, University of Washington, Seattle, WA, USA., Ghabra O; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA., Siar J; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA., Sauder M; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA., Huijon RM; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA., Black TM; Psychiatry & Behavioral Sciences, University of Washington, Seattle, WA, USA.

Publikováno v: Npj mental health research [Npj Ment Health Res] 2024 Dec 05; Vol. 3 (1), pp. 61. Date of Electronic Publication: 2024 Dec 05.

LeafAI: query generator for clinical cohort discovery rivaling a human programmer.

Autor: Dobbins NJ; Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, Washington, USA.; Department of Research IT, UW Medicine, University of Washington, Seattle, Washington, USA., Han B; Information School, University of Washington, Seattle, Washington, USA., Zhou W; Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, Washington, USA., Lan KF; Department of Medicine, University of Washington, Seattle, Washington, USA., Kim HN; Department of Medicine, University of Washington, Seattle, Washington, USA., Harrington R; Department of Medicine, University of Washington, Seattle, Washington, USA., Uzuner Ö; Department of Information Sciences and Technology, George Mason University, Fairfax, Virginia, USA., Yetisgen M; Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, Washington, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2023 Nov 17; Vol. 30 (12), pp. 1954-1964.

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.

Autor: Dobbins NJ; Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, WA, USA. ndobb@uw.edu., Mullen T; Khoury College of Computer Science, Northeastern University, Seattle, WA, USA., Uzuner Ö; Department of Information Sciences and Technology, George Mason University, Fairfax, VA, USA., Yetisgen M; Department of Biomedical Informatics & Medical Education, University of Washington, Seattle, WA, USA.

Publikováno v: Scientific data [Sci Data] 2022 Aug 11; Vol. 9 (1), pp. 490. Date of Electronic Publication: 2022 Aug 11.

Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research.

Autor: Dobbins NJ; Department of Biomedical Informatics and Medical Education, UW Medicine Research IT, University of Washington, Seattle, Washington, USA., Spital CH; UW Medicine Research IT, University of Washington, Seattle, Washington, USA., Black RA; Population Health Analytics, University of Washington, Seattle, Washington, USA., Morrison JM; Clinical Research Informatics, St. Jude's Children's Research Hospital, Memphis, Tennessee, USA., de Veer B; UW Medicine Research IT, University of Washington, Seattle, Washington, USA., Zampino E; UW Medicine Research IT, University of Washington, Seattle, Washington, USA., Harrington RD; Department of Medicine, Division of Infectious Disease, University of Washington, Seattle, Washington, USA., Britt BD; UW Medicine Analytics, University of Washington, Seattle, Washington, USA., Stephens KA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA., Wilcox AB; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA., Tarczy-Hornoch P; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA., Mooney SD; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2020 Jan 01; Vol. 27 (1), pp. 109-118.