Document Detail


A decision tree-based approach for determining low bone mineral density in inflammatory bowel disease using WEKA software.
MedLine Citation:
PMID:  17998832     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Decision tree classification is a standard machine learning technique that has been used for a wide range of applications. Patients with inflammatory bowel disease (IBD) are at increased risk of developing low bone mineral density (BMD). This study aimed at developing a new approach to select truly affected IBD patients who are indicated for densitometry, hence, subjecting fewer patients for bone densitometry and reducing expenses. MATERIALS AND METHODS: Simple decision trees have been developed by means of WEKA (Waikato Environment for Knowledge Analysis) package of machine learning algorithms to predict factors influencing the bone density among IBD patients. The BMD status was the outcome variable whereas age, sex, duration of disease, smoking status, corticosteroid use, oral contraceptive use, calcium or vitamin D supplementation, menstruation, milk abstinence, BMI, and levels of calcium, phosphorous, alkaline phosphatase, and 25-OH vitamin D were all attributes. RESULTS: Testing showed the decision trees to have sensitivities of 65.7-82.8%, specificities of 95.2-96.3%, accuracies of 86.2-89.8%, and Matthews correlation coefficients of 0.68-0.79. Smoking status was the most significant node (root) for ulcerative colitis and IBD-associated trees whereas calcium status was the root of Crohn's disease patients' decision tree. CONCLUSION: BD specialists could use such decision trees to reduce substantially the number of patients referred for bone densitometry and potentially save resources.
Authors:
Farzad Firouzi; Marjan Rashidi; Sattar Hashemi; Mohammadreza Kangavari; Ali Bahari; Naser Ebrahimi Daryani; Mohammad Mehdi Emam; Nosratollah Naderi; Hamid Mohaghegh Shalmani; Alma Farnood; Mohammadreza Zali
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  European journal of gastroenterology & hepatology     Volume:  19     ISSN:  0954-691X     ISO Abbreviation:  Eur J Gastroenterol Hepatol     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-11-13     Completed Date:  2008-02-28     Revised Date:  2009-10-16    
Medline Journal Info:
Nlm Unique ID:  9000874     Medline TA:  Eur J Gastroenterol Hepatol     Country:  England    
Other Details:
Languages:  eng     Pagination:  1075-81     Citation Subset:  IM    
Affiliation:
Department of Inflammatory Bowel Disease, Research Center for Gastroenterology and Liver Diseases, Shaheed Beheshti University of Medical Sciences, Tehran, Iran. firouzifar1975@yahoo.com
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MeSH Terms
Descriptor/Qualifier:
Absorptiometry, Photon
Adolescent
Adult
Aged
Algorithms
Bone Density
Colitis, Ulcerative / complications,  physiopathology
Crohn Disease / complications,  physiopathology
Decision Trees*
Diagnosis, Computer-Assisted / methods*
Female
Humans
Inflammatory Bowel Diseases / complications*,  physiopathology
Male
Middle Aged
Osteoporosis / diagnosis*,  etiology*
Patient Selection
Risk Factors
Smoking / adverse effects,  physiopathology
Software

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