Fialoke, Suruchi <br/><br/>
Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.  [electronic resource] 

 -  AMIA ... Annual Symposium proceedings. AMIA Symposium  2018 
 - 430-439 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1942-597X 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Alanine Transaminase--blood<br/>Aspartate Aminotransferases--blood<br/>Biomarkers--blood<br/>Case-Control Studies<br/>Cohort Studies<br/>Decision Trees<br/>Diabetes Mellitus, Type 2--complications<br/>Disease Progression<br/>Electronic Health Records<br/>Fatty Liver--complications<br/>Female<br/>Health Status<br/>Hepatitis--etiology<br/>Humans<br/>Liver Cirrhosis--complications<br/>Liver Function Tests<br/>Logistic Models<br/>Male<br/>Middle Aged<br/>Non-alcoholic Fatty Liver Disease--complications<br/>Risk Factors<br/>Supervised Machine Learning