Abstract
We will address the issue of estimating burnout state based on physiological parameters and organizational climate data as a machine learning problem, identifying the appropriate hypothesis for the case of school principals in southern Israel. The proposed solution was developed as a scalable solution for employees in the education system.
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Leba, M., Ionica, A.C., Nassar, Y., Riurean, S. (2022). Machine Learning Approach on Burnout – The Case of Principals from Southern Israel. In: Antipova, T. (eds) Comprehensible Science. ICCS 2021. Lecture Notes in Networks and Systems, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-85799-8_2
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DOI: https://doi.org/10.1007/978-3-030-85799-8_2
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