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Big Data and Cognitive ComputingAs suicide rates increase globally, there is a growing need for effective, data-driven methods in mental health monitoring. This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning ...
Hesham Allam +4 more
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Recalling a Devastating Tornado: Qualities of Child Recollections and Associations with Mental Health Symptoms [PDF]
, 2017 Erin P. Hambrick +3 more
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Engineering ReportsDepression is a serious mental health issue affecting people of all ages, with early detection being crucial for timely treatment. In this study, we developed a highly accurate machine‐learning model using a stacking ensemble technique to predict ...
Koushik Roy +4 more
doaj +1 more source
BMC Public Health, 2011 Background Population surveys and health services registers are the main source of data for the management of public health. Yet, the validity of survey data on the use of mental health services has been questioned repeatedly due to the sensitive nature ...
Drapeau Aline +2 more
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A generalized cortical activity pattern at internally-generated mental context boundaries during unguided narrative recall [PDF]
, 2021 Hongmi Lee, Janice Chen
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Frontiers in PsychiatryIntroductionAdolescent mental health problems are becoming increasingly serious, making early prediction and personalized intervention important research topics.
Guiyuan Zhang, Shuang Li
doaj +1 more source