Neural network approaches to grade adult depression

Journal of Medical Systems

Volumn 36, Issue 5, 2012, Pages 2803-2815

  Chattopadhyay, Subhagata ^a   Kaur, Preetisha ^b   Rabhi, Fethi ^c   Acharya, U Rajendra ^d  

^a NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^b MANIPAL INSTITUTE OF TECHNOLOGY   (India)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

Author keywords

ANFIS; BPNN; Classification; Depression; Grading; SOM

Indexed keywords

ADULT DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CLASSIFICATION ALGORITHM; CLINICAL DECISION MAKING; DEPRESSION; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; DISEASE SEVERITY; FUZZY SYSTEM; HUMAN; INTERNAL CONSISTENCY; KNOWLEDGE; PREDICTION; QUESTIONNAIRE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; HOSPITALIZATION; METHODOLOGY;

DEPRESSIVE DISORDER; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; HUMANS; NEURAL NETWORKS (COMPUTER); QUESTIONNAIRES; SEVERITY OF ILLNESS INDEX;

EID: 84867309019     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9759-1     Document Type: Article

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