Pancreatic cancer has a lower incidence than many other types of cancer, but is the fourth most common cause of death from cancer, among men and women, being responsible for 6% of all cancer-related deaths. The global annual incidence rate for pancreas cancer is about 8/100,000 persons. Pancreatic cancer disease is notoriously difficult to diagnose in its early stages. Study was carried out in the Department of General Surgery, Government General Hospital, Guntur from October 2010 to 2012, in which 16 cases with a diagnosis of carcinoma pancreas. They were investigated with routine blood investigations. They were treated accordingly with Pylorus preserving pancreaticodenectomy (PPPD) or palliative bypass or with non-operative palliative measures. Carcinoma pancreas is an aggressive disease with male preponderance with peak incidence in 5th and 6th decade. Important risk factors are Smoking and alcohol consumption. Nearly 75% of the cases presented in the late stage of the disease. Resection of the tumour had better survival. The limitations of our study are small number of patients and short follow-up.
In the era of smart technology, from weather news to online order is known with the help of applications in the light weight systems. Through this paper we developed a method which helps in prediction of breast cancer of a patient by the product metric evaluation. By using this method, we reduce the characteristics required to predict the breast cancer in the light weight systems which has less computation power.
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