Automatic detection of erythemato-squamous diseases using adaptive neuro-fuzzy inference systems

Computers in Biology and Medicine

Volumn 35, Issue 5, 2005, Pages 421-433

  Übeyli, Elif Derya ^a   Güler, Inan ^a  

^a GAZI UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Erythemato squamous diseases detection; Fuzzy logic

Indexed keywords

ADAPTIVE SYSTEMS; DATA REDUCTION; DIAGNOSIS; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATIENT TREATMENT;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS (ANFIS); ERYTHEMATO-SQUAMOUS DISEASES;

DISEASES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ERYTHEMATOSQUAMOUS SKIN DISEASE; HUMAN; LICHEN PLANUS; PITYRIASIS ROSEA; PITYRIASIS RUBRA PILARIS; PRIORITY JOURNAL; PSORIASIS; QUALITATIVE ANALYSIS; SEBORRHEIC DERMATITIS; SKIN INFLAMMATION; ALGORITHM; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIAGNOSTIC ERROR; ERYTHEMA; FUZZY LOGIC; SKIN DISEASE;

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSTIC ERRORS; ERYTHEMA; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); SKIN DISEASES; SKIN DISEASES, PAPULOSQUAMOUS;

EID: 14844363880     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2004.03.003     Document Type: Article

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