[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 …
Natural language processing in clinical neuroscience and psychiatry: A review
C Crema, G Attardi, D Sartiano, A Redolfi - Frontiers in Psychiatry, 2022 - frontiersin.org
Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …
community. The ability to automatically analyze any type of medical document could be the …
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …
society, both because of the serious health effects of COVID-19 and because of public …
[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 …
Recent advances in using natural language processing to address public health research questions using social media and consumergenerated data
Objective: We present a narrative review of recent work on the utilisation of Natural
Language Processing (NLP) for the analysis of social media (including online health …
Language Processing (NLP) for the analysis of social media (including online health …
Deep learning in clinical natural language processing: a methodical review
Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
[HTML][HTML] Characterisation of mental health conditions in social media using Informed Deep Learning
The number of people affected by mental illness is on the increase and with it the burden on
health and social care use, as well as the loss of both productivity and quality-adjusted life …
health and social care use, as well as the loss of both productivity and quality-adjusted life …
Natural language processing for mental health interventions: a systematic review and research framework
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …
[HTML][HTML] Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks
T Tran, R Kavuluru - Journal of biomedical informatics, 2017 - Elsevier
Background: Applications of natural language processing to mental health notes are not
common given the sensitive nature of the associated narratives. The CEGS N-GRID 2016 …
common given the sensitive nature of the associated narratives. The CEGS N-GRID 2016 …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …