An artificial neural network improves the non-invasive diagnosis of significant fibrosis in HIV/HCV coinfected patients

Journal of Infection

Volumn 62, Issue 1, 2011, Pages 77-86

  Resino, Salvador ^a   Seoane, José Antonio ^b   Bellón, José María ^c   Dorado, Julián ^b   Martin Sanchez, Fernando ^d   Álvarez, Emilio ^c   Cosín, Jaime ^c   López, Juan Carlos ^c   Lopéz, Guilllermo ^d   Miralles, Pilar ^c   Berenguer, Juan ^c  

^a INSTITUTO DE SALUD CARLOS III   (Spain)

^b UNIVERSITY OF A CORUÑA   (Spain)

^c HOSPITAL GENERAL UNIVERSITARIO GREGORIO MARAÑÓN   (Spain)

^d INSTITUTO DE SALUD CARLOS III   (Spain)

Author keywords

AIDS; Biological markers; Chronic hepatitis C; Diagnosis; Hepatic biopsy; Liver fibrosis

Indexed keywords

ANTIRETROVIRUS AGENT; NONNUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITOR; PROTEINASE INHIBITOR; RNA DIRECTED DNA POLYMERASE INHIBITOR;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD ANALYSIS; CONTROLLED CLINICAL TRIAL; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FEMALE; HEPATITIS C; HUMAN; HUMAN CELL; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; HUMAN TISSUE; LIVER FIBROSIS; MAJOR CLINICAL STUDY; MALE; METAVIR SCORE; MIXED INFECTION; NON INVASIVE MEASUREMENT; PREDICTION; RANDOMIZED CONTROLLED TRIAL; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY;

ADULT; BIOPSY; CROSS-SECTIONAL STUDIES; FEMALE; HEPATITIS C, CHRONIC; HIV INFECTIONS; HUMANS; LIVER; LIVER CIRRHOSIS; MALE; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES;

EID: 78751634055     PISSN: 01634453     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jinf.2010.11.003     Document Type: Article

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