Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Hôpital de l'Antiquaille · Centre Hospitalier Régional Universitaire de Brest · +8 more institutions
Abstract
Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides good performance in statistical tasks, such as text classification or sentiment mining.
The primary aim of this systematic review was to summarize and characterize, in methodological and technical terms, studies that used machine learning and NLP techniques for mental health. The secondary aim was to consider the potential use of these methods in mental health clinical practice.
Citation impact
- FWCI
- 42.36
- Percentile
- 100%
- References
- 111
Authors
11- ALAziliz Le Glaz
Hôpital de l'Antiquaille, Centre Hospitalier Régional Universitaire de Brest
- YHYannis Haralambous
Centre National de la Recherche Scientifique, Université de Bretagne Occidentale, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, IMT Atlantique
- DKDeok-Hee Kim-Dufor
Hôpital de l'Antiquaille, Centre Hospitalier Régional Universitaire de Brest
- PLPhilippe Lenca
Centre National de la Recherche Scientifique, Université de Bretagne Occidentale, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, IMT Atlantique
- RBRomain Billot
Centre National de la Recherche Scientifique, Université de Bretagne Occidentale, Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance, IMT Atlantique
Topics & keywords
- PsycINFO
- Systematic review
- Mental health
- Scopus
- Artificial intelligence
- MEDLINE
- Machine learning
- Population
- Reduced inequalities