Cargando…
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
BACKGROUND: Bipolar disorder (BD) is the 10th most common cause of frailty in young individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life expectancy 9 to 17 years lower than that of normal people. BD is a predominant mental disorder, but it can be misdiagnosed...
Autores principales: | Jan, Zainab, AI-Ansari, Noor, Mousa, Osama, Abd-alrazaq, Alaa, Ahmed, Arfan, Alam, Tanvir, Househ, Mowafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663682/ https://www.ncbi.nlm.nih.gov/pubmed/34806996 http://dx.doi.org/10.2196/29749 |
Ejemplares similares
-
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
por: Shah, Uzair, et al.
Publicado: (2022) -
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
por: Al-Hussain, Ghada, et al.
Publicado: (2022) -
Effectiveness of Serious Games for Improving Executive Functions Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis
por: Abd-alrazaq, Alaa, et al.
Publicado: (2022) -
Machine learning models to detect anxiety and depression through social media: A scoping review
por: Ahmed, Arfan, et al.
Publicado: (2022) -
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
por: Abd-alrazaq, Alaa, et al.
Publicado: (2022)