Artificial neural network accurately predicts hepatitis B surface antigen seroclearance

PLoS ONE

Volumn 9, Issue 6, 2014, Pages

  Zheng, Ming Hua ^a,b   Seto, Wai Kay ^b,c   Shi, Ke Qing ^a   Wong, Danny Ka Ho ^b,c   Fung, James ^b,c   Hung, Ivan Fan Ngai ^b   Fong, Daniel Yee Tak ^b   Yuen, John Chi Hang ^b   Tong, Teresa ^b   Lai, Ching Lung ^b,c   Yuen, Man Fung ^b,c  

^a WENZHOU MEDICAL UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c THE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

HEPATITIS B SURFACE ANTIGEN; VIRUS DNA;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HEPATITIS B; HEPATITIS B VIRUS GENOTYPE B; HEPATITIS B VIRUS GENOTYPE C; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEROCONVERSION; VIRAL CLEARANCE; BLOOD; DEMOGRAPHY; IMMUNOLOGY; MIDDLE AGED; REPRODUCIBILITY; STATISTICAL MODEL;

DEMOGRAPHY; FEMALE; HEPATITIS B SURFACE ANTIGENS; HEPATITIS B, CHRONIC; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84902659167     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0099422     Document Type: Article

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