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:: Volume 2, Issue 3 (Fall 2015) ::
2015, 2(3): 149-159 Back to browse issues page
The investigation of TB patients features with K-Means clustering
Farzad Firuzi Jahantigh, Hakimeh Ameri
M.Sc. in Information Technology, Industrial Engineering Dept., Khaje Nasir Toosi University of Technology, Tehran, Iran
Abstract:   (7420 Views)

Introduction: According to the World Health Organization, TB is the largest cause of death among infectious diseases. Due to the high percentage of tuberculosis infection and the high number of death among these patients, this study was carried out to categorized and find the relationship between different clinical and demographical characteristics.

Method: This descriptive analytical study was done on 600 patients from Masih Daneshvari hospital tuberculosis research center. K-means clustering, Apriori association rules, and data mining algorithms (SPSS Clementine software) were used for clustering and determining the common characteristics among patients.

Results: Based on DUNN index, 3 clusters were chosen as optimal cluster. The common factors between clusters have been described in details in findings section. According to the characteristics of each cluster, patients can be classified based on the effectiveness of various factors

Conclusion: According to the results of this study, the most important identified factors by the use of clustering are Hemoglobin, age, sex, smoking, alcohol and Creatinine. Based on the association rules the highest rate of relationship is found between cough, weight loss, and ESR.

Keywords: Tuberculosis, Clustering, Association rules, Data mining
eprint link: http://eprints.kmu.ac.ir/id/eprint/25060
Full-Text [PDF 662 kb]   (3311 Downloads)    
Type of Study: Original Article | Subject: General
Received: 2015/10/14 | Accepted: 2015/11/16
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Firuzi Jahantigh F, Ameri H. The investigation of TB patients features with K-Means clustering. Journal of Health and Biomedical Informatics. 2015; 2 (3) :149-159
URL: http://jhbmi.ir/article-1-110-en.html

Volume 2, Issue 3 (Fall 2015) Back to browse issues page
مجله انفورماتیک سلامت و زیست پزشکی Journal of Health and Biomedical Informatics
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