Cargando…
Development of a Digital Content-Free Speech Analysis Tool for the Measurement of Mental Health and Follow-Up for Mental Disorders: Protocol for a Case-Control Study
BACKGROUND: The prevalence of mental disorders worldwide is very high. The guideline-oriented care of patients depends on early diagnosis and regular and valid evaluation of their treatment to be able to quickly intervene should the patient’s mental health deteriorate. To ensure effective treatment,...
Autores principales: | Tonn, Peter, Degani, Yoav, Hershko, Shani, Klein, Amit, Seule, Lea, Schulze, Nina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256747/ https://www.ncbi.nlm.nih.gov/pubmed/32406862 http://dx.doi.org/10.2196/13852 |
Ejemplares similares
-
Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study
por: Tonn, Peter, et al.
Publicado: (2022) -
Attitudes of Physicians and Individuals Toward Digital Mental Health Tools: Protocol for a Web-Based Survey Research Project
por: Nogueira-Leite, Diogo, et al.
Publicado: (2023) -
The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis
por: Martin-Key, Nayra A, et al.
Publicado: (2021) -
Digital tools for youth mental health
por: Uhlhaas, Peter, et al.
Publicado: (2019) -
Using Wearable Devices and Speech Data for Personalized Machine Learning in Early Detection of Mental Disorders: Protocol for a Participatory Research Study
por: Diaz-Ramos, Ramon E, et al.
Publicado: (2023)