College Students Mental Health Assessment System Design Based on J2EE

2015 ◽  
Author(s):  
Shen Yanhua
Keyword(s):  
Mental Health ◽  
College Students ◽  
System Design ◽  
Health Assessment ◽  
Assessment System ◽  
Mental Health Assessment

scholarly journals A Mental Health Assessment Model of College Students Using Intelligent Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Keke Li ◽  
Weifang Yu
Keyword(s):  
Neural Network ◽  
Mental Health ◽  
College Students ◽  
Health Assessment ◽  
Colleges And Universities ◽  
Assessment Model ◽  
Prediction Algorithm ◽  
Mental Health Assessment ◽  
Health Assessments ◽  
Intelligent Technology

College students are under increasing competition pressure, which has a negative impact on their mental health, as the pace of learning and life accelerates, as well as the increasingly difficult employment situation. As a result, emphasizing the importance of college students’ mental health and fully addressing it has become a top priority in the work of colleges and universities. However, some students and even teachers are currently unconcerned about mental illness, making it difficult for students with psychological abnormalities to receive timely detection and effective treatment. As a result, it is the responsibility of student management for colleges and universities to identify and intervene early in the mental health problems of college students. Through the use of multimodal data and neural network models, it is now possible to evaluate and predict the mental state of college students in real time, thanks to the advancement of intelligent technology. Therefore, a novel multimodal neural network model is proposed in this paper. Our model is divided into two branches in particular. The traditional mental health assessment and prediction algorithm, which is based on the improved BP neural network and the International Mental Health Scale SCL-90, is one of the branches. Given how difficult it is to meet the requirements for the accuracy of college students’ mental health assessments using this method, our other branch is computer vision-based facial emotion recognition of college students, which is used to aid in the evaluation of mental health assessments. Our model demonstrates competitive performance through simulation and comparative experiments.

scholarly journals Prognostic and socio-economic significance of using the mental health assessment system model

2021 ◽  
Vol 23 (2) ◽  
pp. 286-292
Author(s):  
V. L. Pidlubnyi
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Health Assessment ◽  
Assessment System ◽  
Dust Exposure ◽  
Length Of Service ◽  
Female Age ◽  
Industrial Enterprises ◽  
Mental Health Assessment ◽  
Economic Significance

In modern psychiatric discourse, the problem of developing preventive measures aimed at timely detection and prevention of mental disorders exacerbation among the general population has not lost its relevance. In this context, special attention is paid to non-psychotic mental disorders, as the most common and masked form of mental pathology, in workers of industrial enterprises, as the least studied category of persons with a specific pool of biopsychosocial factors affecting their mental health. The aim of the work is to evaluate the prognostic and socio-economic significance of the principles of a systematic approach to mental health assessment in the contingent of industrial workers. Contingents and methods. On the basis of Municipal Non-Commercial Enterprise “Regional Clinical Institution for Provision of Psychiatric Care” of Zaporizhzhia Regional Council, 982 workers of industrial enterprises, who underwent a preventive psychiatric examination according to the Order of the Cabinet of Ministers of Ukraine No. 1465 dated December 27, 2000, were examined after obtaining their informed consent. Clinical-epidemiological, clinical-psychopathological, clinical-analytical, psychodiagnostic and statistical methods were used in the study. As a basic tool for the study was the “Basic Chart for Clinical and Epidemiological Studies”, which included socio-demographic and anamnestic data, a clinical component describing the symptoms and syndromes. Results. It was revealed that the following factors had the greatest influence on the development of psycho-maladjustment in the workers of industrial enterprises: moderate workload, increased occupational noise levels, female, age 50–60 years. The development of neurotic, stress-related and somatoform disorders were mostly associated with moderate workload, night shift work, 12-hour duty, occupational dust exposure, female, age 50–60 years, emotional tension. The development of personality and behavior disorders was due to an overall length of service of 5–10 years, length of specialized service up to 10 years, moderate workload, age 18–29 years. The development of mental disorders related to brain dysfunction resulted from the overall length of service up to 40 years, moderate workload, manual work, occupational vibration and heat exposure, female, age 50–60 years, periodical alcohol consumption. Conclusions. The identified factors for non-psychotic mental disorders were divided according to the criterion of their correction possibility and structured into blocks for mental health assessment within the developed diagnostic and psychoprophylactic model.

CAMINO: Integrating context in the mental health assessment of immigrant Latinos.

2017 ◽  
Vol 48 (6) ◽  
pp. 453-460 ◽  
Author(s):  
Michelle A. Silva ◽  
Manuel Paris ◽  
Luis M. Añez
Keyword(s):  
Mental Health ◽  
Health Assessment ◽  
Mental Health Assessment

Mental health assessment of altruistic non-directed kidney donors: An EAPM consensus statement

2018 ◽  
Vol 107 ◽  
pp. 26-32 ◽  
Author(s):  
Stephen Potts ◽  
Frank Vitinius ◽  
Yesim Erim ◽  
Gabor Gazdag ◽  
Robert Gribble ◽  
...  
Keyword(s):  
Mental Health ◽  
Consensus Statement ◽  
Health Assessment ◽  
Kidney Donors ◽  
Mental Health Assessment
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