Adaptive splitting and selection method for noninvasive recognition of liver fibrosis stage

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7803 LNAI, Issue PART 2, 2013, Pages 215-224

  Krawczyk, Bartosz ^a   Woźniak, Michał ^a   Orczyk, Tomasz ^b   Porwik, Piotr ^b  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^b UNIVERSITY OF SILESIA   (Poland)

Author keywords

clustering and selection; evolutionary algorithm; feature selection; liver fibrosis; machine learning; medical informatics; multiple classifier system

Indexed keywords

ADAPTIVE SPLITTING; BLOOD EXAMINATION; CLASSIFICATION METHODS; CLASSIFIER ENSEMBLES; CLUSTERING AND SELECTIONS; CROSS-DISCIPLINARY TEAMS; DIFFERENT STAGES; ERROR RATE; GIVEN FEATURES; HEALTH COMPLICATIONS; LIVER BIOPSIES; LIVER DISEASE; LIVER FIBROSIS; MEDICAL EXPERTS; MEDICAL INFORMATICS; MEDICAL PROCEDURES; MULTIPLE CLASSIFIER SYSTEMS; NONINVASIVE METHODS; SELECTION METHODS; TECHNICAL UNIVERSITIES;

DATABASE SYSTEMS; DISEASE CONTROL; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; HEALTH INSURANCE; LEARNING SYSTEMS; NONINVASIVE MEDICAL PROCEDURES;

BIOPSY;

EID: 84874624170     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36543-0_23     Document Type: Conference Paper

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