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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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| Vydáno v: | Biomed Res Int |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6192080/ https://ncbi.nlm.nih.gov/pubmed/30402478 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/4304376 |
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