Cargando…
Explainable artificial intelligence on life satisfaction, diabetes mellitus and its comorbid condition
This study uses artificial intelligence for testing (1) whether the comorbidity of diabetes and its comorbid condition is very strong in the middle-aged or old (hypothesis 1) and (2) whether major determinants of the comorbidity are similar for different pairs of diabetes and its comorbid condition...
Autores principales: | Kim, Ranyeong, Kim, Chae-Won, Park, Hyuntae, Lee, Kwang-Sig |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356918/ https://www.ncbi.nlm.nih.gov/pubmed/37468531 http://dx.doi.org/10.1038/s41598-023-36285-z |
Ejemplares similares
-
Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease
por: Lee, Kwang-Sig, et al.
Publicado: (2022) -
Artificial Intelligence Approaches to Social Determinants of Cognitive Impairment and Its Associated Conditions
por: Lee, Kwang-Sig, et al.
Publicado: (2020) -
Artificial intelligence in obstetrics
por: Ahn, Ki Hoon, et al.
Publicado: (2022) -
Automated detection of colorectal tumors based on artificial intelligence
por: Lee, Kwang-Sig, et al.
Publicado: (2021) -
Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis
por: Jha, Nayansi, et al.
Publicado: (2022)