An ensemble of classifiers for the diagnosis of erythemato-squamous diseases

Neurocomputing

Volumn 69, Issue 7-9 SPEC. ISS., 2006, Pages 842-845

  Nanni, Loris ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Ensemble of classifiers; Erythemato squamous diseases; Support vector machines

Indexed keywords

DIAGNOSIS; DISEASES; FORECASTING; RANDOM PROCESSES; SET THEORY;

ENSEMBLE OF CLASSIFIERS; ERYTHEMATO-SQUAMOUS DISEASES; SUPPORT VECTOR MACHINES;

LEARNING SYSTEMS;

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ANALYSIS; COMPUTER PROGRAM; DECISION SUPPORT SYSTEM; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; ERYTHEMATOSQUAMOUS SKIN DISEASE; HUMAN; MATHEMATICAL COMPUTING; METHODOLOGY; PREDICTION; PRIORITY JOURNAL;

EID: 32544456756     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.09.007     Document Type: Article

References (6)

1. G. Castellano, C. Castiello, A.M. Fanelli, C. Leone, Diagnosis of dermatological diseases by a neuro-fuzzy approach, in: Proceedings of International Conference in Fuzzy Logic and Technology (EUSFLAT 2003), Zittau, Germany, September 10-12, 2003, pp. 747-750.
2. R.O. Duda P.E. Hart D.G. Stork Pattern Classification second ed. 2000 Wiley New York
3. H.A. Guvenir G. Demirov N. Ilter Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals Artif. Intell. Med. 13 3 1998 147-165
4. H.A. Guvenir N. Emeksiz An expert system for the differential diagnosis of erythemato-squamous diseases Expert Syst. Appl. 18 1 2000 43-49
5. T.K. Ho The random subspace method for constructing decision forests IEEE Trans. Pattern Anal. Mach. Intell. 20 8 1998 832-844
6. J. Kittler M. Hatef R. Duin J. Matas On combining classifiers IEEE Trans. Pattern Anal. Mach. Intell. 20 3 1998 226-239