Cargando…
Machine learning classifiers for screening nonalcoholic fatty liver disease in general adults
Nonalcoholic fatty liver disease (NAFLD) is one of major causes of end-stage liver disease in the coming decades, but it shows few symptoms until it develops into cirrhosis. We aim to develop classification models with machine learning to screen NAFLD patients among general adults. This study includ...
Autores principales: | Qin, Shenghua, Hou, Xiaomin, Wen, Yuan, Wang, Chunqing, Tan, Xiaxian, Tian, Hao, Ao, Qingqing, Li, Jingze, Chu, Shuyuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984396/ https://www.ncbi.nlm.nih.gov/pubmed/36869105 http://dx.doi.org/10.1038/s41598-023-30750-5 |
Ejemplares similares
-
Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort
por: Sharma, Divya, et al.
Publicado: (2021) -
Multifeature analysis of an ultrasound quantitative diagnostic index for classifying nonalcoholic fatty liver disease
por: Liao, Yin-Yin, et al.
Publicado: (2016) -
A multi-component classifier for nonalcoholic fatty liver disease (NAFLD) based on genomic, proteomic, and phenomic data domains
por: Wood, G. Craig, et al.
Publicado: (2017) -
Screening and interventions to prevent nonalcoholic fatty liver disease/nonalcoholic steatohepatitis-associated hepatocellular carcinoma
por: Cernea, Simona, et al.
Publicado: (2023) -
Screening for nonalcoholic fatty liver disease-when, who and how?
por: Dietrich, Christoph G, et al.
Publicado: (2021)