A hybrid fuzzy-ontology based intelligent system to determine level of severity and treatment recommendation for benign prostatic hyperplasia

Computer Methods and Programs in Biomedicine

Volumn 113, Issue 1, 2014, Pages 301-313

  Torshizi, Abolfazl Doostparast ^a   Zarandi, Mohammad Hossein Fazel ^a   Torshizi, Ghazaleh Doostparast ^b   Eghbali, Kamyar ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Benign Prostatic Hyperplasia (BPH); Fuzzy rule based systems; Ontology modeling; Prostatic disorders

Indexed keywords

BENIGN PROSTATIC HYPERPLASIA; DECISION MAKING UNIT; DECISION-BASED; EXTERNAL KNOWLEDGE; FUZZY RULE-BASED SYSTEMS; ONTOLOGY MODEL; PROSTATIC DISORDERS; REMARKABLE IMPACT; ONTOLOGY-BASED;

DIAGNOSIS;

INTELLIGENT SYSTEMS;

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; DECISION MAKING; DISEASE SEVERITY; FUZZY INTELLIGENT SYSTEM; FUZZY LOGIC; HUMAN; INFORMATION SYSTEM; KNOWLEDGE; LEARNING; MALE; METAPHYSICS; MORTALITY; PROSTATE HYPERTROPHY; PROSTATE SIZE; QUALITY OF LIFE; RISK REDUCTION; SYMPTOM; URINE RETENTION; ACCURACY; EXPERT SYSTEM; FUZZY SYSTEM; IMPAIRED BLADDER EMPTYING; MEDICAL DECISION MAKING; NOCTURIA; ONTOLOGY; PRACTICE GUIDELINE; URINARY URGENCY; WATCHFUL WAITING;

BENIGN PROSTATIC HYPERPLASIA (BPH); FUZZY RULE-BASED SYSTEMS; ONTOLOGY MODELING; PROSTATIC DISORDERS;

FUZZY LOGIC; HUMANS; MALE; PROSTATIC HYPERPLASIA; SEVERITY OF ILLNESS INDEX;

EID: 84887825930     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.09.021     Document Type: Article

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