Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining

Journal of Medical Virology

Volumn 85, Issue 8, 2013, Pages 1334-1339

  Shang, Guifang ^a,b   Richardson, Alice ^a,b   Gahan, Michelle E ^a,b   Easteal, Simon ^b   Ohms, Stephen ^b   Lidbury, Brett A ^b  

^a UNIVERSITY OF CANBERRA   (Australia)

^b Australian National University   (Australia)

Author keywords

Decision tree; Hepatitis B virus; Logistic regression; Machine learning

Indexed keywords

ALANINE AMINOTRANSFERASE; ALKALINE PHOSPHATASE; HEPATITIS B SURFACE ANTIGEN; SERUM ALBUMIN;

ACCURACY; ALANINE AMINOTRANSFERASE BLOOD LEVEL; ALBUMIN BLOOD LEVEL; ALKALINE PHOSPHATASE BLOOD LEVEL; AREA UNDER THE CURVE; ARTICLE; CHINESE; CLASSIFICATION; COHORT ANALYSIS; DATA MINING; DECISION TREE; HUMAN; IMMUNOASSAY; MAJOR CLINICAL STUDY; PATHOLOGY; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ALANINE TRANSAMINASE; ALKALINE PHOSPHATASE; ARTIFICIAL INTELLIGENCE; CHINA; DATA MINING; DECISION SUPPORT TECHNIQUES; HEPATITIS B; HEPATITIS B SURFACE ANTIGENS; HEPATITIS B VIRUS; HUMANS; SENSITIVITY AND SPECIFICITY; SERUM ALBUMIN;

HEPATITIS B VIRUS;

EID: 84879134608     PISSN: 01466615     EISSN: 10969071     Source Type: Journal    
DOI: 10.1002/jmv.23609     Document Type: Article

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