A technique for identifying three diagnostic findings using association analysis

Medical and Biological Engineering and Computing

Volumn 45, Issue 1, 2007, Pages 51-59

  Imamura, Tomoaki ^a   Matsumoto, Shinya ^b   Kanagawa, Yoshiyuki ^a   Tajima, Bunichi ^b   Matsuya, Shiro ^c   Furue, Masutaka ^d   Oyama, Hiroshi ^c  

^a UNIVERSITY OF TOKYO HOSPITAL   (Japan)

^b TERADATA CORPORATION   (United States)

^c UNIVERSITY OF TOKYO   (Japan)

^d KYUSHU UNIVERSITY   (Japan)

Author keywords

Association analysis; Data mining; Diagnostic triad; Medical data; Three clinical findings

Indexed keywords

DATA MINING; DATA PROCESSING; DENTISTRY; DERMATOLOGY; DIAGNOSIS; DISEASES; MEDICINE; OPHTHALMOLOGY; PATIENT MONITORING;

ASSOCIATION ANALYSIS; DIAGNOSTIC TRIAD; MEDICAL DATA; THREE CLINICAL FINDINGS;

BIOMEDICAL ENGINEERING;

ARTICLE; ASSOCIATION ANALYSIS; BLOOD ANALYSIS; CHRONIC DISEASE; CLINICAL EXAMINATION; CLINICAL FEATURE; COMPUTER SYSTEM; COST EFFECTIVENESS ANALYSIS; DATA ANALYSIS; DATA MINING; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; RESOURCE MANAGEMENT; SYMPTOM; TIME MANAGEMENT; VALIDATION PROCESS;

DATA COLLECTION; DIAGNOSIS, COMPUTER-ASSISTED; HEMATOLOGIC TESTS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; LONGITUDINAL STUDIES; MEDICAL INFORMATICS COMPUTING; SENSITIVITY AND SPECIFICITY;

EID: 33846415798     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-006-0121-6     Document Type: Article

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