Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases. Machine learning techniques were introduced to evaluate the optimal predictive clinical model of NAFLD. METHODS: A cross-sectional study was performed with subjects who attended a health examinatio...

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Detalles Bibliográficos
Autores principales: Ma, Han, Xu, Cheng-fu, Shen, Zhe, Yu, Chao-hui, Li, You-ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192080/
https://www.ncbi.nlm.nih.gov/pubmed/30402478
http://dx.doi.org/10.1155/2018/4304376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192080/
https://www.ncbi.nlm.nih.gov/pubmed/30402478
http://dx.doi.org/10.1155/2018/4304376

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