The use of data-mining to identify indicators of health-related quality of life in patients with irritable bowel syndrome

Journal of Clinical Nursing

Volumn 21, Issue 19-20, 2012, Pages 2761-2771

  Penny, Kay I ^a   Smith, Graeme D ^b  

^a EDINBURGH NAPIER UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Artificial neural network; Classification tree; Data mining; Health related quality of life; Irritable bowel syndrome; Logistic regression; Nursing

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CHILD; COHORT ANALYSIS; FEMALE; HUMAN; INFANT; INFORMATION RETRIEVAL; IRRITABLE COLON; MALE; MIDDLE AGED; NEWBORN; PATHOPHYSIOLOGY; PRESCHOOL CHILD; QUALITY OF LIFE; QUESTIONNAIRE; UNITED KINGDOM;

ADOLESCENT; ADULT; CHILD; CHILD, PRESCHOOL; COHORT STUDIES; FEMALE; GREAT BRITAIN; HUMANS; INFANT; INFANT, NEWBORN; INFORMATION STORAGE AND RETRIEVAL; IRRITABLE BOWEL SYNDROME; MALE; MIDDLE AGED; QUALITY OF LIFE; QUESTIONNAIRES; YOUNG ADULT;

EID: 84866486876     PISSN: 09621067     EISSN: 13652702     Source Type: Journal    
DOI: 10.1111/j.1365-2702.2011.03897.x     Document Type: Article

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