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Primary tumor alludes to a tumor or mass that is developing in the area where malignant growth started. For example, if a patient is determined to have stomach malignancy, the primary tumor would be found in the stomach itself instead of somewhere else in the body. Data mining has wide reception as of late in numerous ventures, to a great extent as a result of the capacity of mining methods to quickly yield answers to business inquiries in a brief timeframe and the accessibility of huge amounts of information to misuse. The study uses a primary tumor imbalanced dataset as input for several predictive data mining methods. The objective of the current study is to determine the ability of these data mining methods to predict the location of primary tumor. Several variables are known to be predictive of primary tumor. These are based on the patient’s risk variable location and associated basic parameters. This study analyses the patient’s risk factor variables from the primary tumor dataset to monitor output to develop accurate and comprehensible models for the prediction of Primary tumor. This study aims to find predictors of various primary tumors using primary tumor dataset.

"Applications of Data Mining and Medical Imaging for Disease Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.1-4, February-2019, Available :http://www.jetir.org/papers/JETIREL06001.pdf

"Applications of Data Mining and Medical Imaging for Disease Diagnosis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp1-4, February-2019, Available at : http://www.jetir.org/papers/JETIREL06001.pdf