A machine learning approach to behavioral signals of burnout in audit and control professions.

Atılgan Sarıdoğan A, Erkal ZE, Küçükgergerli N, Ertürk M, Emeç M, Yaman A

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DOI: 10.3389/fpsyg.2026.1792200
Published: 2026
Container: Frontiers in psychology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1792200,
  title = {A machine learning approach to behavioral signals of burnout in audit and control professions.},
  author = {Atılgan Sarıdoğan A and Erkal ZE and Küçükgergerli N and Ertürk M and Emeç M and Yaman A},
  year = {2026},
  journal = {Frontiers in psychology},
  doi = {10.3389/fpsyg.2026.1792200},
  url = {https://doi.org/10.3389/fpsyg.2026.1792200}
}

RIS

TY  - JOUR
TI  - A machine learning approach to behavioral signals of burnout in audit and control professions.
AU  - Atılgan Sarıdoğan A
AU  - Erkal ZE
AU  - Küçükgergerli N
AU  - Ertürk M
AU  - Emeç M
AU  - Yaman A
PY  - 2026
JO  - Frontiers in psychology
DO  - 10.3389/fpsyg.2026.1792200
UR  - https://doi.org/10.3389/fpsyg.2026.1792200
ER  -

APA

A, A. S., ZE, E., N, K., M, E., M, E., & A, Y. (2026). A machine learning approach to behavioral signals of burnout in audit and control professions.. Frontiers in psychology. https://doi.org/10.3389/fpsyg.2026.1792200

Source records

pubmed · retrieved 2026-09-25T19:58:04.020Z
europe-pmc · retrieved 2026-09-25T19:58:04.030Z
doaj · retrieved 2026-09-25T19:58:04.022Z