Literature DB >> 23920952

Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system.

Nassim Douali1, Meriem Abdennour, Magali Sasso, Veronique Miette, Joan Tordjman, Pierre Bedossa, Nicolas Veyrie, Christine Poitou, Judith Aron-Wisnewsky, Karine Clément, Marie Christine Jaulent, Jean Daniel Zucker.   

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.

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Year:  2013        PMID: 23920952

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.

Authors:  Venkatanareshbabu Kuppili; Mainak Biswas; Aswini Sreekumar; Harman S Suri; Luca Saba; Damodar Reddy Edla; Rui Tato Marinho; J Miguel Sanches; Jasjit S Suri
Journal:  J Med Syst       Date:  2017-08-23       Impact factor: 4.460

Review 2.  Applications of artificial intelligence (AI) in researches on non-alcoholic fatty liver disease(NAFLD) : A systematic review.

Authors:  Yifang Li; Xuetao Wang; Jun Zhang; Shanshan Zhang; Jian Jiao
Journal:  Rev Endocr Metab Disord       Date:  2021-08-15       Impact factor: 9.306

  2 in total

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