Cargando…
Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health i...
Autores principales: | Cook, Benjamin L., Progovac, Ana M., Chen, Pei, Mullin, Brian, Hou, Sherry, Baca-Garcia, Enrique |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056245/ https://www.ncbi.nlm.nih.gov/pubmed/27752278 http://dx.doi.org/10.1155/2016/8708434 |
Ejemplares similares
-
Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review
por: Arowosegbe, Abayomi, et al.
Publicado: (2023) -
Mental pain and depressive symptoms in the determination of suicidal ideation among psychiatric patients
por: Rogante, E., et al.
Publicado: (2023) -
Longitudinal trajectories of suicidal ideation and attempts in adolescents with psychiatric disorders in Chile: study protocol
por: Méndez-Bustos, Pablo, et al.
Publicado: (2022) -
Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing
por: Fernandes, Andrea C., et al.
Publicado: (2018) -
NLP4NLP+5: The Deep (R)evolution in Speech and Language Processing
por: Mariani, Joseph, et al.
Publicado: (2022)