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Journal of Research in Health Sciences، جلد ۱۶، شماره ۱، صفحات ۳۱-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Applying Data Mining Techniques to Extract Hidden Patterns about Breast Cancer Survival in an Iranian Cohort Study |
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| چکیده انگلیسی مقاله |
Background : Breast cancer survival has been analyzed by many standard data mining algorithms. A group of these algorithms belonged to the decision tree category. Ability of the decision tree algorithms in terms of visualizing and formulating of hidden patterns among study variables were main reasons to apply an algorithm from the decision tree category in the current study that has not studied already. Methods : The classification and regression trees (CART) was applied to a breast cancer database contained information on569 patients in 2007-2010. The measurement of Gini impurity used for categorical target variables was utilized. The classification error that is a function of tree size was measured by 10-fold cross-validation experiments. The performance of created model was evaluated by the criteria as accuracy, sensitivity and specificity. Results : The CART model produced a decision tree with 17 nodes, 9 of which were associated with a set of rules. The rules were meaningful clinically. They showed in the if-then format that Stage was the most important variable for predicting breast cancer survival. The scores of accuracy, sensitivity and specificity were: 80.3%, 93.5% and 53%, respectively. Conclusions : The current study model as the first one created by the CART was able to extract useful hidden rules from a relatively small size dataset. |
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| کلیدواژه‌های انگلیسی مقاله |
Breast Neoplasms,Survival,Data Mining,CART,Decision Tree |
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| نویسندگان مقاله |
حمیدرضا خلخالی | hamid reza khalkhali
هادی لطف نژاد افشار | hadi lotfnezhad afshar
امید اثنی عشری | omid esnaashari
نصراله جباری | nasrollah jabbari
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| نشانی اینترنتی |
http://journals.umsha.ac.ir/index.php/JRHS/article/view/2471 |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
Original Articles |
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