[HTML][HTML] Natural language processing applied to mental illness detection: a narrative review

T Zhang, AM Schoene, S Ji, S Ananiadou - NPJ digital medicine, 2022 - nature.com
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 …

Artificial intelligence and suicide prevention: a systematic review of machine learning investigations

RA Bernert, AM Hilberg, R Melia, JP Kim… - International journal of …, 2020 - mdpi.com
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 …

[HTML][HTML] What every reader should know about studies using electronic health record data but may be afraid to ask

IS Kohane, BJ Aronow, P Avillach… - Journal of medical …, 2021 - jmir.org
Coincident with the tsunami of COVID-19–related publications, there has been a surge of
studies using real-world data, including those obtained from the electronic health record …

[HTML][HTML] Linguistic features of suicidal thoughts and behaviors: A systematic review

S Homan, M Gabi, N Klee, S Bachmann… - Clinical psychology …, 2022 - Elsevier
Abstract Language is a potential source of predictors for suicidal thoughts and behaviors
(STBs), as changes in speech characteristics, communication habits, and word choice may …

Opportunities and challenges in application of artificial intelligence in pharmacology

M Kumar, TPN Nguyen, J Kaur, TG Singh, D Soni… - Pharmacological …, 2023 - Springer
Artificial intelligence (AI) is a machine science that can mimic human behaviour like
intelligent analysis of data. AI functions with specialized algorithms and integrates with deep …

Suicidal behavior across a broad range of psychiatric disorders

YE Xu, DA Barron, K Sudol, S Zisook… - Molecular …, 2023 - nature.com
Suicide is a leading cause of death worldwide. In 2020, some 12.2 million Americans
seriously contemplated suicide, 3.2 million planned suicide attempts, and 1.2 million …

Application of natural language processing (NLP) in detecting and preventing suicide ideation: a systematic review

A Arowosegbe, T Oyelade - International Journal of Environmental …, 2023 - mdpi.com
(1) Introduction: Around a million people are reported to die by suicide every year, and due
to the stigma associated with the nature of the death, this figure is usually assumed to be an …

Validation of an electronic health record–based suicide risk prediction modeling approach across multiple health care systems

Y Barak-Corren, VM Castro, MK Nock… - JAMA network …, 2020 - jamanetwork.com
Importance Suicide is a leading cause of mortality, with suicide-related deaths increasing in
recent years. Automated methods for individualized risk prediction have great potential to …

[HTML][HTML] Identifying and predicting intentional self-harm in electronic health record clinical notes: deep learning approach

JS Obeid, J Dahne, S Christensen… - JMIR medical …, 2020 - medinform.jmir.org
Background Suicide is an important public health concern in the United States and around
the world. There has been significant work examining machine learning approaches to …

[HTML][HTML] An intelligent multimodal medical diagnosis system based on patients' medical questions and structured symptoms for telemedicine

H Faris, M Habib, M Faris, H Elayan… - Informatics in Medicine …, 2021 - Elsevier
The massive increase in health-related digital data has revolutionized the power of machine
learning algorithms to produce more salient information. Digital health data consists of …