[PDF][PDF] Prediction of mental health problems among higher education student using machine learning

NSM Shafiee, S Mutalib - International Journal of Education and …, 2020 - academia.edu
Today, mental health problems become serious issues in Malaysia. In generally, mental
health problems are health issues that effects on how a person feels, thinks, behaves, and …

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 …

Behavioral modeling for mental health using machine learning algorithms

M Srividya, S Mohanavalli, N Bhalaji - Journal of medical systems, 2018 - Springer
Mental health is an indicator of emotional, psychological and social well-being of an
individual. It determines how an individual thinks, feels and handle situations. Positive …

Mental health prediction using machine learning: taxonomy, applications, and challenges

J Chung, J Teo - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
The increase of mental health problems and the need for effective medical health care have
led to an investigation of machine learning that can be applied in mental health problems …

Comparison of the performance of machine learning-based algorithms for predicting depression and anxiety among University Students in Bangladesh: A result of the …

MIH Nayan, MSG Uddin, MI Hossain… - Asian Journal of …, 2022 - journals.lww.com
Methods: A structured questionnaire-based online survey was conducted on 2121 university
students (private and public) living in Bangladesh. After obtaining informed consent, the …

Predicting depression in Bangladeshi undergraduates using machine learning

AA Choudhury, MRH Khan, NZ Nahim… - 2019 IEEE Region …, 2019 - ieeexplore.ieee.org
Depression is a major disorder and a growing problem that impacts a person's way of living
and disrupts natural functioning. Depression is especially prevalent in the younger …

[PDF][PDF] Intelligent health risk prediction systems using machine learning: a review

SA Shinde, PR Rajeswari - Int. J. Eng. Technol, 2018 - researchgate.net
Humans are considered to be the most intelligent species on the mother earth and are
inherently more health conscious. Since Centuries mankind has discovered various proven …

Predictive analysis of mental health conditions using AdaBoost algorithm

EO Ogunseye, CA Adenusi, AC Nwanakwaugwu… - …, 2022 - journals.itiud.org
The presented research responds to increased mental illness conditions worldwide and the
need for efficient mental health care (MHC) through machine learning (ML) implementations …

Predicting mental health illness using machine learning algorithms

K Vaishnavi, UN Kamath, BA Rao… - Journal of Physics …, 2022 - iopscience.iop.org
Early detection of mental health issues allows specialists to treat them more effectively and it
improves patient's quality of life. Mental health is about one's psychological, emotional, 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 …