[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 2, Issue 3 (Fall 2015) ::
2015, 2(3): 133-140 Back to browse issues page
Futures Studies in Health: Choosing the Best Intelligent Data Mining Model to Predict and Diagnose liver Cancer in Early Stage
Faezeh Afzali, Zohreh Heidari, Mitra Montazeri, Leila Ahmadian , Mohammad Javad Zahedi
Ph.D. in Medical Informatics, Associate Professor, Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Abstract:   (11956 Views)

Introduction: Primary liver cancer (­HCC), is the fifth most common type of cancer and the third leading cause of death in the world. Symptoms of liver cancer will progress rapidly after the onset of the disease, and unfortunately, the patients' survival rate is very low. One of the main problems for gastroenterologists is the prediction and early detection of liver cancer. Data mining techniques can be used to understand and predict cancer. The aim of this study was to identify the best model based on intelligent data mining to predict and diagnose liver cancer in an early stage.

Method: In the present article, a retrospective study was conducted on 516 cases of primary and secondary liver cancer, and 22 risk factors were examined. Data were collected from the patients' files and analyzed using 5 data mining models including VFI Classifier, Regression Classifier, Hyper Pipes Classifier, Functional trees with logistic regression, and Meta Multi Class Classifier with the highest precision (Precision). These models were compared.

Results: The precision, sensitivity, specificity, and the area under the curve of VFI Classifier model were respectively 71.29%, 49%, 50%, and 63.31%, and VFI Classifier model is the best model based on intelligent data mining to predict and diagnose liver cancer in an early stage.

Conclusion: If properly designed, data mining model VFI Classifier can predict liver cancer or detect it in an early stage.

Keywords: Liver Cancer, Hepatocellular Carcinoma (HCC), Prediction and Detection, Data Mining, Futures studies on Health
eprint link: http://eprints.kmu.ac.ir/id/eprint/25057
Full-Text [PDF 551 kb]   (5611 Downloads)    
Type of Study: Original Article | Subject: Special
Received: 2015/02/17 | Accepted: 2015/09/16
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Afzali F, Heidari Z, Montazeri M, Ahmadian L, Zahedi M J. Futures Studies in Health: Choosing the Best Intelligent Data Mining Model to Predict and Diagnose liver Cancer in Early Stage. Journal of Health and Biomedical Informatics. 2015; 2 (3) :133-140
URL: http://jhbmi.ir/article-1-78-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
Persian site map - English site map - Created in 0.03 seconds with 30 queries by YEKTAWEB 4319