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 …
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 …
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 …
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 …
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 …
(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 …
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 …
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 …
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 …