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

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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
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  Data: <searchLink fieldCode="AU" term="%22Tawfik+D%22">Tawfik D</searchLink>; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Sebok-Syer+SS%22">Sebok-Syer SS</searchLink>; Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Bragdon+C%22">Bragdon C</searchLink>; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Brown-Johnson+C%22">Brown-Johnson C</searchLink>; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Winget+M%22">Winget M</searchLink>; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Bayati+M%22">Bayati M</searchLink>; Operations, Information & Technology, Stanford Graduate School of Business, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Shanafelt+T%22">Shanafelt T</searchLink>; Department of Medicine, Stanford University School of Medicine, Palo Alto, California, United States.<br /><searchLink fieldCode="AU" term="%22Profit+J%22">Profit J</searchLink>; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, United States.
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  Data: <searchLink fieldCode="JN" term="%22101537732%22">Applied clinical informatics</searchLink> [Appl Clin Inform] 2025 Aug; Vol. 16 (4), pp. 1031-1040. <i>Date of Electronic Publication: </i>2025 Apr 28.
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        Value: 10.1055/a-2595-0415
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              Text: 2025 Aug
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