Improved classification of medical data using abductive network committees trained on different feature subsets

Computer Methods and Programs in Biomedicine

Volumn 80, Issue 2, 2005, Pages 141-153

  Abdel Aal, R E ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Abductive networks; Breast cancer; Classification accuracy; Diabetes; Feature selection; Heart disease; Medical diagnosis; Network committee; Network ensemble; Neural networks

Indexed keywords

COMPUTER NETWORKS; DIAGNOSIS; DISEASES; ERROR ANALYSIS; FEATURE EXTRACTION; LEARNING ALGORITHMS; NEURAL NETWORKS; TUMORS;

ABDUCTIVE NETWORKS; BREAST CANCER; CLASSIFICATION ACCURACY; DIABETES; FEATURE SELECTION; HEART DISEASE; NETWORK COMMITTEE; NETWORK ENSEMBLE;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; BREAST CANCER; CLINICAL FEATURE; COMPUTER ASSISTED DIAGNOSIS; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DISEASE CLASSIFICATION; HEART DISEASE; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MEDICAL INFORMATICS; MEDICAL INFORMATION; PREDICTION; SCREENING; TRAINING;

ALGORITHMS; BREAST NEOPLASMS; DIABETES MELLITUS; DISEASE; FEMALE; HEART DISEASES; HUMANS; MALE; NEURAL NETWORKS (COMPUTER);

EID: 27144546980     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.08.001     Document Type: Article

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