An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout

Author:

Pillai MalvikaORCID,Adapa KarthikORCID,Foster MeaganORCID,Kratzke Ian,Charguia Nadia,Mazur Lukasz

Publisher

Springer International Publishing

Reference27 articles.

1. Rotenstein, L.S., Torre, M., Ramos, M.A., et al.: Prevalence of burnout among physicians: a systematic review. JAMA 320, 1131–1150 (2018). https://doi.org/10.1001/jama.2018.12777

2. Leo, C.G., Sabina, S., Tumolo, M.R., et al.: Burnout among healthcare workers in the COVID 19 era: a review of the existing literature. Front. Publ. Health 9, 750529 (2021). https://doi.org/10.3389/fpubh.2021.750529

3. Lost on the frontline: US healthcare workers who died fighting Covid-19—US news—The Guardian. https://www.theguardian.com/us-news/ng-interactive/2020/aug/11/lost-on-the-frontline-covid-19-coronavirus-us-healthcare-workers-deaths-database. Accessed 16 June 2022

4. Shanafelt, T.D., Balch, C.M., Bechamps, G., et al.: Burnout and medical errors among American surgeons. Ann. Surg. 251, 995–1000 (2010). https://doi.org/10.1097/SLA.0b013e3181bfdab3

5. Shanafelt, T.D.: Finding meaning, balance, and personal satisfaction in the practice of oncology. J. Support Oncol. 3(157–62), 164 (2005)

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