scholarly journals Predictive Models on Early Detection of Mental Health Problems using Big Data and Artifical Intelligence

2019 ◽  
Vol 7 (5) ◽  
pp. 3377-3383
Author(s):  
Dhruvesh Shah
Keyword(s):  
Mental Health ◽  
Big Data ◽  
Early Detection ◽  
Predictive Models ◽  
Mental Health Problems ◽  
Health Problems ◽  
Artifical Intelligence

scholarly journals FACTORS AFFECTING EARLY DETECTION OF MENTAL HEALTH PROBLEMS OF THE ELDERLY AND SERVICE USE IN KOREA

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1202-1202
Author(s):  
Y. Park ◽  
D. Son ◽  
K. Park ◽  
E. Park ◽  
Y. Choi
Keyword(s):  
Mental Health ◽  
Early Detection ◽  
Service Use ◽  
Mental Health Problems ◽  
The Elderly ◽  
Health Problems ◽  
Factors Affecting

Early detection of risk-taking, self-harming, and suicidal behaviour

2021 ◽  
pp. 429-436
Author(s):  
Corinna Reichl ◽  
Michael Kaess
Keyword(s):  
Mental Health ◽  
Early Detection ◽  
Interpersonal Relationships ◽  
Risk Taking ◽  
Suicidal Behaviour ◽  
Mental Health Problems ◽  
Developmental Trajectories ◽  
Health Problems ◽  
Risk Markers

This text outlines the role of risk-taking and self-harming behaviours in the development and detection of suicidal behaviour and mental health problems among adolescents. Risk-taking and self-harming behaviours are observable symptoms for underlying problems of emotion regulation, impulse control or interpersonal relationships and are sensitive risk markers for early detection of developmental trajectories of suicidal behaviour and mental health problems. Due to their easy accessibility and their sensitive prediction of mental health problems, risk-taking and self-harming behaviours have been included into programmes screening for adolescents at risk of suicidal behaviour in the general population. The principles and findings of those screening programmes are discussed. Professional screenings are time consuming for participants and create costs for the healthcare system, thus, longitudinal studies are needed to test whether screening programmes are effective in reducing suicidal behaviour among adolescents.

Early detection of mental health problems in older people

2002 ◽  
Vol 11 (18) ◽  
pp. 1198-1203 ◽  
Author(s):  
Jayne Sayers ◽  
Sue Watts ◽  
Gita Bhutani
Keyword(s):  
Mental Health ◽  
Early Detection ◽  
Older People ◽  
Mental Health Problems ◽  
Health Problems

scholarly journals EARLY DETECTION INTEGRATED OF COMMUNITY MENTAL HEALTH IN IMPROVING COMMUNITY RESPONSE IN ONE OF THE VILAGE AT GUNUNGKIDUL 2020

2020 ◽  
Vol 7 (1) ◽  
pp. 21-28
Author(s):  
Ruthy Ngapiyem ◽  
Erik Adik Putra Bambang Kurniawan
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Early Detection ◽  
Mental Health Problems ◽  
Descriptive Analysis ◽  
Health Problems ◽  
Community Response ◽  
Self Reporting Questionnaire ◽  
The Village ◽  
Psychiatric Problems

Mental health is one of the significant health problems arising from the inability of individuals to manage stress which will direct individual behavior to destructive behavior where the peak of the behavior is suicide. Gunungkidul Regency is the area that ranks first in the national suicide rate, where one of these areas is located in a research location in a hamlet in Gunungkidul with suicides due to mental health problems. The level of awareness of a person against mental disorders varies and the level of sensitivity is different. Early detection is very necessary to screen for mental health problems early using the Self Reporting Questionnaire (SRQ) to minimize the vulnerability of citizens experiencing psychiatric problems that are often referred to as people with psychiatric problems. Descriptive analysis results illustrate that of the 43 respondents who experienced mental emotional distress or mental stress that led to a number of 11 respondents (25.6%). Based on these results it can be concluded that there is a picture of emotional mental distress or distress that leads to mental disorders in the community in one of the village in Gunungkidul 2020.

scholarly journals Creating a healthy Wirobrajan community from an early age through psychoeducation and early detection of people with mental disorders

2021 ◽  
Vol 6 (5) ◽  
pp. 732-739
Author(s):  
Moh Aminullah ◽  
Nurul Hidayah ◽  
Jefri Reza Phalevi
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Mental Disorders ◽  
Early Detection ◽  
Family Environment ◽  
Mental Health Problems ◽  
Health Problems ◽  
Public Health Facility ◽  
The Family

Public concern for mental health problems is still very minimal, including in the Wirobrajan neighborhood, Yogyakarta, Indonesia. Wirobrajan Public Health Center as a public health facility has carried out various kinds of health education activities. However, the results were not optimal considering this requires the participation of the community in paying attention to health in the family environment. The mental health early detection movement is one of the factors for preventing mental health problems in the family. The purpose of this activity is to conduct psychoeducation and early detection of people with mental disorders (ODGJ) in the Wirobrajan environment. The method used was a cross-sector mini workshop in the form of ODGJ socialization, inauguration of the alert village decree and counseling on the role of families in preventing ODGJ recurrence. The results of the activity showed that mental health cadres had a better understanding of the concept, causes, and treatment of mental disorders, as well as the role of family and the environment in ODGJ. Thus, the cadres will understand more about people with mental disorders and have new abilities related to early detection of mental health.

scholarly journals Development an app for monitoring stress level and early detection of mental disorders in Indonesia

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I M Puspitasari ◽  
R K Sinuraya ◽  
W Witriani ◽  
A Aridarma
Keyword(s):  
Mental Health ◽  
Early Detection ◽  
Stress Level ◽  
Mental Health Problems ◽  
Mental Health Disorders ◽  
Health Problems ◽  
Android Os ◽  
Stress Levels ◽  
Health Disorders ◽  
Bahasa Indonesia

Abstract Background Stress may contribute to physical and mental health problems. The number of people with mental-emotional disorders has reached up to be 19 million people in Indonesia in 2018. Monitoring stress levels and early detection are important to prevent serious mental health problems. Therefore, we are developing De-stres©, a mobile app for monitoring the stress level and early detection of mental health disorders in Bahasa Indonesia. Methods De-stres© was developed for android OS and web-based app by using the web2py framework and PostgreSQL database. The app used the PSS-10 and Beck Depression-II questionnaires that were available in Bahasa Indonesia. It had six main functions: creating an account, approving the informed consent, filling the questionnaire, generating test results automatically, advice from psychologists based on the test result and saving test history. Results A month since its launch, the six functions test ran well on the Android OS and the website. A preliminary result showed that the app was downloaded more than 100 times from Google Playstore. Among the 420 data records, 71.6% (301) app users were students, with 60.7% (255) using the app to measure only stress level, 25.5% (107) resulting in severe stress and 4% (17) severe depression. Conclusions De-stres© is successfully developed and a promising instrument that can be implemented for Indonesia, by providing preliminary self-administered questionnaire. Key messages De-stres© is an app for monitoring stress levels and early detection of mental health problems and successfully developed with preliminary self-administered questionnaires in Bahasa Indonesia. De-stres© is a promising app that can be implemented for preventing serious mental health disorders in Indonesia.

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