Industrial intelligence in the care of workers' mental health: A review of status and challenges

C Goetz, R Bavaresco, R Kunst, J Barbosa - International Journal of …, 2022 - Elsevier
Mental health is a current concern because people worldwide have been committed to
disorders that impair lives as a whole, affecting emotional states, behaviors, and body …

Machine learning, deep learning and data preprocessing techniques for detection, prediction, and monitoring of stress and stress-related mental disorders: a scoping …

M Razavi, S Ziyadidegan, R Jahromi… - arXiv preprint arXiv …, 2023 - arxiv.org
This comprehensive review systematically evaluates Machine Learning (ML) methodologies
employed in the detection, prediction, and analysis of mental stress and its consequent …

Perceived stress analysis of undergraduate students during COVID-19: a machine learning approach

AA Rahman, MI Siraji, LI Khalid, F Faisal… - 2022 IEEE 21st …, 2022 - ieeexplore.ieee.org
Stress is a state of mind when an individual experiences emotional or physical tensions
originating from any event that results in frustration, anger, or nervousness. Unfortunately …

Classification algorithms based mental health prediction using data mining

V Laijawala, A Aachaliya, H Jatta… - 2020 5th international …, 2020 - ieeexplore.ieee.org
The emotional, psychological and social welfare of a person is revealed by their mental
health. It influences how an individual will think, feel or handle a situation. Positive mental …

Machine learning techniques for prediction of mental health

T Jain, A Jain, PS Hada, H Kumar… - 2021 Third …, 2021 - ieeexplore.ieee.org
Suicide is the 2 nd leading cause of death in the world, for those aged 15-24 and about
800,000 victims of suicide yearly (all age), which is about 40 per second. Behavioural health …

Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science

A Lee, I Inceoglu, O Hauser, M Greene - The Leadership Quarterly, 2022 - Elsevier
Abstract Machine Learning (ML) techniques offer exciting new avenues for leadership
research. In this paper we discuss how ML techniques can be used to inform predictive and …

Predicting mental health disorders using machine learning for employees in technical and non-technical companies

R Katarya, S Maan - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Mental health has always been an important and challenging issue, especially in the case of
working Professionals. The modernized (hectic) lifestyle and workload take a toll over …

Prediction of mental health among university students

F Sahlan, F Hamidi, MZ Misrat, MH Adli… - … on Perceptive and …, 2021 - journals.iium.edu.my
Mental Illness or mental disorder is defined as a health condition that changes a person's
thinking, feelings, or behaviour which can cause the person to distress and face difficulty to …

Mental health analysis of employees using machine learning techniques

BH Sujal, K Neelima, C Deepanjali… - 2022 14th …, 2022 - ieeexplore.ieee.org
In recent years, there has been increasing research and analysis on the importance of
mental health in achieving global sustainable development goals. Mental stability can be …

[HTML][HTML] Sentiment analysis for predicting stress among workers and classification utilizing CNN: Unveiling the mechanism

M Alruily - Alexandria Engineering Journal, 2023 - Elsevier
Stress is one of the main factors that affect the lives of many individuals' lives. Stressful work
situations cause significant levels of stress in many employees. Extreme stress can cause …