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Qualitative Verification of Machine Learning-Based Burnout Predictors in Primary Care Physicians: An Exploratory Study.

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Bibliographic Details
Title:	Qualitative Verification of Machine Learning-Based Burnout Predictors in Primary Care Physicians: An Exploratory Study.
Authors:	Tawfik D; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, United States., Sebok-Syer SS; Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, California, United States., Bragdon C; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States., Brown-Johnson C; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States., Winget M; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States., Bayati M; Operations, Information & Technology, Stanford Graduate School of Business, Palo Alto, California, United States., Shanafelt T; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States., Profit J; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, United States.
Source:	Applied clinical informatics [Appl Clin Inform] 2025 Aug; Vol. 16 (4), pp. 1031-1040. Date of Electronic Publication: 2025 Apr 28.
Publication Type:	Journal Article; Research Support, N.I.H., Extramural
Journal Info:	Publisher: Thieme Country of Publication: Germany NLM ID: 101537732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-0327 (Electronic) Linking ISSN: 18690327 NLM ISO Abbreviation: Appl Clin Inform Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1869-0327
DOI:	10.1055/a-2595-0415