Comparison of AI techniques for prediction of liver fibrosis in hepatitis patients patient facing systems

Journal of Medical Systems

Volumn 38, Issue 8, 2014, Pages

  Keltch, Brian ^a   Lin, Yuan ^a   Bayrak, Coskun ^a  

^a Computer Science Department University of Arkansas at Little Rock ^*  (United States)

Author keywords

AI; CDSS; Fibrosis Stage; Hepatitis; Logistics Regression; Na ve bayes classifier

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; CLINICAL DECISION MAKING; DECISION SUPPORT SYSTEM; DECISION TREE; DISEASE SEVERITY; HEPATITIS B; HEPATITIS C; HUMAN; LIVER BIOPSY; LIVER FIBROSIS; PREDICTION; VALIDATION STUDY; BAYES THEOREM; BLOOD; COMPLICATION; JAPAN; LIVER CIRRHOSIS; ORGANIZATION AND MANAGEMENT; PATHOLOGY; PREDICTIVE VALUE;

BIOLOGICAL MARKER; IMMUNOGLOBULIN; SERUM ALBUMIN;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOLOGICAL MARKERS; DECISION SUPPORT SYSTEMS, CLINICAL; GAMMA-GLOBULINS; HEPATITIS B; HEPATITIS C; HUMANS; JAPAN; LIVER CIRRHOSIS; PREDICTIVE VALUE OF TESTS; SERUM ALBUMIN;

EID: 84904042856     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0060-y     Document Type: Article

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