[HTML][HTML] Machine learning and natural language processing in mental health: systematic review
A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …
automatically learn models from data to make better decisions. Natural language processing …
Artificial intelligence and suicide prevention: a systematic review of machine learning investigations
Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review
Background Machine learning techniques offer promise to improve suicide risk prediction. In
the current systematic review, we aimed to review the existing literature on the application of …
the current systematic review, we aimed to review the existing literature on the application of …
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …
control. In conjunction with recent advances in the field of artificial intelligence, there is …
Which PHQ-9 items can effectively screen for suicide? Machine learning approaches
S Kim, HK Lee, K Lee - … journal of environmental research and public …, 2021 - mdpi.com
(1) Background: The Patient Health Questionnaire-9 (PHQ-9) is a tool that screens patients
for depression in primary care settings. In this study, we evaluated the efficacy of PHQ-9 in …
for depression in primary care settings. In this study, we evaluated the efficacy of PHQ-9 in …
Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm
Background As depression is the leading cause of disability worldwide, large-scale surveys
have been conducted to establish the occurrence and risk factors of depression. However …
have been conducted to establish the occurrence and risk factors of depression. However …
Prediction models for high risk of suicide in Korean adolescents using machine learning techniques
Objective Suicide in adolescents is a major problem worldwide and previous history of
suicide ideation and attempt represents the strongest predictors of future suicidal behavior …
suicide ideation and attempt represents the strongest predictors of future suicidal behavior …
[HTML][HTML] Use of a machine learning algorithm to predict individuals with suicide ideation in the general population
Objective In this study, we aimed to develop a model predicting individuals with suicide
ideation within a general population using a machine learning algorithm. Methods Among …
ideation within a general population using a machine learning algorithm. Methods Among …
Predictors of suicide attempt in patients with obsessive-compulsive disorder: an exploratory study with machine learning analysis
NA Agne, CG Tisott, P Ballester, IC Passos… - Psychological …, 2022 - cambridge.org
Background Patients with obsessive-compulsive disorder (OCD) are at increased risk for
suicide attempt (SA) compared to the general population. However, the significant risk …
suicide attempt (SA) compared to the general population. However, the significant risk …