Social determinants of health in electronic health records and their impact on analysis and risk prediction: a systematic review
Objective This integrative review identifies and analyzes the extant literature to examine the
integration of social determinants of health (SDoH) domains into electronic health records …
integration of social determinants of health (SDoH) domains into electronic health records …
Application of artificial intelligence on psychological interventions and diagnosis: an overview
S Zhou, J Zhao, L Zhang - Frontiers in Psychiatry, 2022 - frontiersin.org
Background Innovative technologies, such as machine learning, big data, and artificial
intelligence (AI) are approaches adopted for personalized medicine, and psychological …
intelligence (AI) are approaches adopted for personalized medicine, and psychological …
Suicide risk assessment using machine learning and social networks: a scoping review
Abstract According to the World Health Organization (WHO) report in 2016, around 800,000
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
of individuals have committed suicide. Moreover, suicide is the second cause of unnatural …
Translating promise into practice: a review of machine learning in suicide research and prevention
OJ Kirtley, K van Mens, M Hoogendoorn… - The Lancet …, 2022 - thelancet.com
In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …
care and better resource targeting are appealing. Research on machine learning as a …
Deep neural networks detect suicide risk from textual facebook posts
Detection of suicide risk is a highly prioritized, yet complicated task. Five decades of
research have produced predictions slightly better than chance (AUCs= 0.56–0.58). In this …
research have produced predictions slightly better than chance (AUCs= 0.56–0.58). In this …
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
field, as many diseases have a complex and multi-factorial time-course, and start to develop …
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Deep learning transformer-based models using longitudinal electronic health records
(EHRs) have shown a great success in prediction of clinical diseases or outcomes …
(EHRs) have shown a great success in prediction of clinical diseases or outcomes …
Artificial intelligence and suicide prevention: a systematic review
A Lejeune, A Le Glaz, PA Perron, J Sebti… - European …, 2022 - cambridge.org
Background Suicide is one of the main preventable causes of death. Artificial intelligence
(AI) could improve methods for assessing suicide risk. The objective of this review is to …
(AI) could improve methods for assessing suicide risk. The objective of this review is to …
[HTML][HTML] Ethical considerations for the use of artificial intelligence in medical decision-making capacity assessments
The rapid advancement of artificial intelligence (AI) and machine learning are providing new
tools to clinicians. AI tools have the potential to process vast amounts of data in a short …
tools to clinicians. AI tools have the potential to process vast amounts of data in a short …
A perspective on managing cities and citizens' well-being through smart sensing data
M Caratù, I Pigliautile, C Piselli, C Fabiani - Environmental Science & Policy, 2023 - Elsevier
Urban development and growth have a significant impact on the environment, contributing to
ongoing climate change and affecting the resilience of urban communities. However, cities …
ongoing climate change and affecting the resilience of urban communities. However, cities …