Abstract
Non-alcoholic fatty liver disease (NAFLD) is a hepatic disease associated with metabolic syndrome. NAFLD covers a spectrum of liver disease from steatosis to non-alcoholic steatohepatitis (NASH) and cirrhosis. NASH is a disease evolving under the influence of various stimuli still poorly understood. In this paper we present new clinical decision support system (CDSS) for the diagnosis of NASH and the comparison of this system with machine learning algorithms.
Publication types
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Comparative Study
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Evaluation Study
MeSH terms
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Algorithms
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Artificial Intelligence*
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Data Mining / methods*
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Decision Support Systems, Clinical / organization & administration*
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Diagnosis, Computer-Assisted / methods*
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Electronic Health Records / organization & administration*
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Humans
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Non-alcoholic Fatty Liver Disease / diagnosis*
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Non-alcoholic Fatty Liver Disease / etiology
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Obesity, Morbid / complications
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Obesity, Morbid / diagnosis*
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Reproducibility of Results
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Sensitivity and Specificity