Noninvasive diagnosis of nonalcoholic steatohepatitis disease based on clinical decision support system.
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.
Inserm, URMS 872 Team 7 and 20, Pierre and Marie Currie University-Paris6, Cordeliers Research Center, Paris - France.
Nassim
N
Douali
Meriem
M
Abdennour
Magali
M
Sasso
Veronique
V
Miette
Joan
J
Tordjman
Pierre
P
Bedossa
Nicolas
N
Veyrie
Christine
C
Poitou
Judith
J
Aron-Wisnewsky
Karine
K
Clément
Marie Christine
MC
Jaulent
Jean Daniel
JD
Zucker
D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining / Q000379:methods*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D057286:Electronic Health Records / Q000458:organization & administration*; D006801:Humans; D065626:Non-alcoholic Fatty Liver Disease / Q000175:diagnosis* / Q000209:etiology; D009767:Obesity, Morbid / Q000150:complications / Q000175:diagnosis*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity