DETERMINING THE EFFECTIVE FACTORS IN THE INCIDENCE OF GASTRIC CANCER BY USING DATA MINING APPROACH

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MAHMOODI SEYED ABBAS; Mirzaie Kamal; MAHMOODI SEYED MOSTAFA

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Journal: Payavard Salamat Year:2017 | Volume:11 | Issue:3 Page(s): 332-341

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Title

DETERMINING THE EFFECTIVE FACTORS IN THE INCIDENCE OF GASTRIC CANCER BY USING DATA MINING APPROACH

Author(s)

MAHMOODI SEYED ABBAS | Mirzaie Kamal | MAHMOODI SEYED MOSTAFA | Issue Writer Certificate

Keywords

DATA MININGQ1

ASSOCIATION RULESQ1

APRIORI ALGORITHMQ1

GASTRIC CANCERQ2

ID3 ALGORITHMQ1

Abstract

Background and Aim: GASTRIC CANCER is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of GASTRIC CANCER in Iran, the factors affecting the development of this disease should be taken into account. In this research, two DATA MINING techniques such as Apriori and ID3 ALGORITHM were used in order to investigate the effective factors in GASTRIC CANCER.Materials and Methods: Data sets in this study were collected among 490 patients including 220 patients with GASTRIC CANCER and 270 healthy samples referred to Imam Reza hospital in Tabriz. The best rules related to this data set were extracted through APRIORI ALGORITHM and implementing it in MATLAB. ID3 ALGORITHM was also used to investigate these factors.Results: The results showed that having a history of gastro esophageal reflux has the greatest impact on the incidence of this disease. Some rules extracted through APRIORI ALGORITHM can be a model to predict patient status and the incidence of the disease and investigate factors affecting the disease. The prediction accuracy achieved through ID3 ALGORITHM is 85.56 which was a very good result in the prediction of GASTRIC CANCER.Conclusion: Using DATA MINING, especially in medical data, is very useful due to the large volume of data and unknown relationships between systemic, personal, and Behavioral Features of patients. The results of this study could help physicians to identify the contributing factors in incidence of the disease and predict the incidence of the disease.

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APA: Copy

MAHMOODI, SEYED ABBAS, Mirzaie, Kamal, & MAHMOODI, SEYED MOSTAFA. (2017). DETERMINING THE EFFECTIVE FACTORS IN THE INCIDENCE OF GASTRIC CANCER BY USING DATA MINING APPROACH. PAYAVARD-SALAMAT, 11(3 ), 332-341. SID. https://sid.ir/paper/149646/en

Vancouver: Copy

MAHMOODI SEYED ABBAS, Mirzaie Kamal, MAHMOODI SEYED MOSTAFA. DETERMINING THE EFFECTIVE FACTORS IN THE INCIDENCE OF GASTRIC CANCER BY USING DATA MINING APPROACH. PAYAVARD-SALAMAT[Internet]. 2017;11(3 ):332-341. Available from: https://sid.ir/paper/149646/en

IEEE: Copy

SEYED ABBAS MAHMOODI, Kamal Mirzaie, and SEYED MOSTAFA MAHMOODI, “DETERMINING THE EFFECTIVE FACTORS IN THE INCIDENCE OF GASTRIC CANCER BY USING DATA MINING APPROACH,” PAYAVARD-SALAMAT, vol. 11, no. 3 , pp. 332–341, 2017, [Online]. Available: https://sid.ir/paper/149646/en

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