ESTIMATION OF STRESS LEVEL IN HUMANS USING MACHINE LEARNING METHODS
DOI:
https://doi.org/10.24867/31RB01PavlovicKeywords:
Stress, stress level, machine learningAbstract
This thesis presents the concept of applying machine learning methods to estimate human stress levels. Stress, as a response of the organism to environmental changes, manifests itself through changes in various physiological parameters. These biomarkers were used as inputs in a machine learning model, which predicted the stress level based on defined class labels.
References
[1] Arza A, Garzón-Rey JM, Lázaro J, Gil E, LopezAnton R, de la Camara C, Laguna P, Bailon R, Aguiló J, „Measuring acute stress response through physiological signals: towards a quantitative assessment of stress“. Med Biol Eng Comput. 2019 Jan;57(1):271-287. doi: 10.1007/s11517-018-1879-z. Epub 2018 Aug 9. PMID: 30094756.
[2] Hellhammer, D. H., Stone, A. A., Hellhammer, J., & Broderick, J. (2010). „Measuring stress“, In Encyclopedia of Behavioral, Neuroscience (Vol. 2, pp. 186–191). Elsevier Ltd.
[3] Chu B, Marwaha K, Sanvictores T, Awosika AO, Ayers D. „Physiology, Stress Reaction“, 2024 May 7. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan–. PMID: 31082164.
[4] Cool, Joséphine & Zappetti, Dana. (2019). „The Physiology of Stress“, 10.1007/978-3-030-16558-1_1
[5] Т. Носек, Б. Бркљач, Д. Деспотовић, М. Сечујски, Т. Лончар-Турукало, „Практикум из машинског учења“, 1. изд, Нови Сад, Универзитет у Новом Саду, 2020, ISBN: 978-86-499-0245-9.
