Douali Nassim, Abdennour Meriem, Sasso Magali, Miette Veronique, Tordjman Joan, Bedossa Pierre, Veyrie Nicolas, Poitou Christine, Aron-Wisnewsky Judith, Clément Karine, Jaulent Marie Christine, Zucker Jean Daniel
Inserm, URMS 872 Team 7 and 20, Pierre and Marie Currie University-Paris6, Cordeliers Research Center, Paris - France.
Stud Health Technol Inform. 2013;192:1178.
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.
非酒精性脂肪性肝病（NAFLD）是一种与代谢综合征相关的肝脏疾病。NAFLD涵盖了从脂肪变性到非酒精性脂肪性肝炎（NASH）和肝硬化的一系列肝脏疾病。NASH是一种在各种仍未完全了解的刺激因素影响下演变的疾病。在本文中，我们提出了一种用于诊断NASH的新临床决策支持系统（CDSS），并将该系统与机器学习算法进行比较。
