Cargando…
Machine Learning on Early Diagnosis of Depression
To review the recent progress of machine learning for the early diagnosis of depression (major depressive disorder). The source of data was 32 original studies in the Web of Science. The search terms were “depression” (title) and “random forest” (abstract). The eligibility criteria were the dependen...
Autores principales: | Lee, Kwang-Sig, Ham, Byung-Joo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neuropsychiatric Association
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441463/ https://www.ncbi.nlm.nih.gov/pubmed/36059048 http://dx.doi.org/10.30773/pi.2022.0075 |
Ejemplares similares
-
Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2023) -
Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
por: Lee, Kwang-Sig, et al.
Publicado: (2022) -
Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth
por: Lee, Kwang-Sig, et al.
Publicado: (2020) -
Risk factor assessments of temporomandibular disorders via machine learning
por: Lee, Kwang-Sig, et al.
Publicado: (2021) -
Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data
por: Lee, Kwang-Sig, et al.
Publicado: (2021)