[HTML][HTML] How can machine learning be used in stress management: A systematic literature review of applications in workplaces and education

S Mittal, S Mahendra, V Sanap, P Churi - International Journal of …, 2022 - Elsevier
In today's competitive and rival world, stress has emerged to be an integral part of every
person's life which affects an individual directly or indirectly in many ways. The COVID-19 …

Evaluating AI systems to combat mental health issues in healthcare workers: An integrative literature review

C Levin, E Naimi, M Saban - International Journal of Medical Informatics, 2024 - Elsevier
Background Mental health issues among healthcare workers remain a serious problem
globally. Recent surveys continue to report high levels of depression, anxiety, burnout and …

[HTML][HTML] Workplace stress in Portuguese oncology nurses delivering palliative care: A pilot study

C Costeira, F Ventura, N Pais, P Santos-Costa… - Nursing Reports, 2022 - mdpi.com
Oncology nurses often face complex end-of-life issues, underlining their need for specific
training in palliative care. In this context, nurses experience several emotional and …

The association between mental health symptoms and quality and safety of patient care before and during COVID-19 among Canadian nurses

F Havaei, X Tang, P Smith, SA Boamah, C Frankfurter - Healthcare, 2022 - mdpi.com
(1) Background: While the association between nurse mental health and quality and safety
of patient care delivery was well documented pre-pandemic, fewer research studies have …

Experiences of workplace environment of neophyte registered nurses in selected hospitals of Limpopo province, South Africa

TS Baloyi, DU Ramathuba… - SA Journal of Human …, 2024 - journals.co.za
Orientation Globally, healthcare workplace environment is regarded as complex and
interactive in nature, hence a supportive collegial environment is crucial in professional …

Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross‐Sectional Study

S Li, KK Sznajder, L Ning, H Gao, X ** review of the literature from 1970 to 2021
C Carvalho Manhães Leite… - IISE Transactions on …, 2023 - Taylor & Francis
Burnout is an occupational syndrome resulting from chronic workplace stress not
appropriately managed. In nursing, burnout has been associated with adverse job …

Workplace predictors of violence against nurses using machine learning techniques: a cross-sectional study utilizing the national standard of psychological workplace …

F Havaei, N Adhami, X Tang, SA Boamah, M Kaulius… - Healthcare, 2023 - mdpi.com
Background: Nurses experience an alarming rate of violence in the workplace. While
previous work has indicated that working conditions play an important role in workplace …

A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa

MM Van Zyl-Cillié, JH Bührmann, AJ Blignaut… - BMC Health Services …, 2024 - Springer
Background The demand for quality healthcare is rising worldwide, and nurses in South
Africa are under pressure to provide care with limited resources. This demanding work …

Understanding the impact of sisu on workforce and well-being: A machine learning-based analysis

UA Khan, J Kauttonen, P Henttonen, I Määttänen - Heliyon, 2024 - cell.com
This study investigates the construct of sisu, a Finnish attribute representing mental
resilience and fortitude when confronted with difficult situations. By leveraging advanced …