[HTML][HTML] Systematic review of machine learning techniques to predict anxiety and stress in college students

A Daza, N Saboya, JI Necochea-Chamorro… - Informatics in medicine …, 2023 - Elsevier
Background Anxiety is considered one of the most common pathologies that people go
through frequently, this being the main cause of illness and disability in students since it is …

[HTML][HTML] Socioeconomic status of university students as a limiting factor for various forms of distance education during Covid-19 measures

V Chytrý, M Kubiatko, R Šindelářová, J Medová - Sustainability, 2022 - mdpi.com
The aim of this study was to determine the influences and impacts of the socioeconomic
status (SES) of families on university students and their studies during anti-pandemic …

[PDF][PDF] Intelligent Student Mental Health Assessment Model on Learning Management System.

NA Aljarallah, AK Dutta, M Alsanea… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
A learning management system (LMS) is a software or web based application, commonly
utilized for planning, designing, and assessing a particular learning procedure. Generally …

[HTML][HTML] Stacking ensemble learning model for predict anxiety level in university students using balancing methods

A Daza, J Bobadilla, O Apaza, J Pinto - Informatics in Medicine Unlocked, 2023 - Elsevier
Background Anxiety is known as one of the most common health disorders affecting a large
part of the population with a high social and personal impact, which affects about 25% of …

[HTML][HTML] Research on weigh-in-motion algorithm of vehicles based on BSO-BP

S Xu, X Chen, Y Fu, H Xu, K Hong - Sensors, 2022 - mdpi.com
Weigh-in-motion (WIM) systems are used to measure the weight of moving vehicles. Aiming
at the problem of low accuracy of the WIM system, this paper proposes a WIM model based …

The Role of Data in Crisis Management Models in the Health Care Context

H Väyrynen, A Paunu… - … Conference on Knowledge …, 2022 - researchportal.tuni.fi
Successful crisis management is consisted of different factors, varying actors and operation
environments. Health care system is one of the most critical sectors in societies to operate …

[PDF][PDF] DASS-21 Based Psychometric Prediction Using Advanced Machine Learning Techniques

J Ghorpade-Aher, A Memon, S Chugh, A Chebolu… - Journal of Advances in …, 2023 - jait.us
The Depression, Anxiety, and Stress Scales (DASS) are 3-factor paradigms; the research is
about understanding an individual's instant, psychic response to the epidemic in evaluating …

A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification

B Tungana, MM Hanafiah, S Doss - … Engineering Applications and …, 2023 - igi-global.com
Psychological health issues like stress, anxiety and depression is becoming general due to
various factors. Different severity levels of stress, anxiety and depression have varied …

[PDF][PDF] Predicting Stress, Anxiety and Depression Among the University Students of India Post-Covid

S Verma - ijisrt.com
Objective: The study aimed to assess the reliability and validity of the Psychological factors,
namely Depression, Anxiety, and Stress Scale-21 (DASS-21), among University students in …

[PDF][PDF] DATA ANALYSIS OF SLEEP PATTERNS AND INFLUENCING FACTORS

P Joshi, A Sharma, A Ray - ijprems.com
Objective: Sleep problems affect millions of individuals worldwide, impacting their overall
health and well-being. The prevalence of sleep disorders, such as insomnia, sleep apnea …