[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review
Mental illness is highly prevalent nowadays, constituting a major cause of distress in
people's life with impact on society's health and well-being. Mental illness is a complex multi …
people's life with impact on society's health and well-being. Mental illness is a complex multi …
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 …
Global evidence of expressed sentiment alterations during the COVID-19 pandemic
The COVID-19 pandemic has created unprecedented burdens on people's physical health
and subjective well-being. While countries worldwide have developed platforms to track the …
and subjective well-being. While countries worldwide have developed platforms to track the …
Priorities for successful use of artificial intelligence by public health organizations: a literature review
S Fisher, LC Rosella - BMC Public Health, 2022 - Springer
Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …
health of all people in all communities. To successfully realize this potential and use AI for …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
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 …
Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …
social media. Thus, several studies found that people who are contemplating suicide can be …
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 …
Fair and explainable depression detection in social media
Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …
the same for identifying people suffering from depression. Nowadays, a number of …
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review
Research has posited that machine learning could improve suicide risk prediction models,
which have traditionally performed poorly. This systematic review and meta-analysis …
which have traditionally performed poorly. This systematic review and meta-analysis …