Sanoob M.U, Anand Madhu, Ajesh K.R and Surekha Mariam Varghese

Cancer is malignant growth or tumour which forms due to an uncontrolled division of cells in a part of body which may even lead to death. These are of different types depending upon the part of body affected. If it is Pancreas then the disease is termed asPancreatic Cancer. This paper presents an Artificial Neural Network model to diagnose pancreatic cancer based on a set of symptoms. An ANN model is created after analysing the actual procedure of disease diagnosis by the doctor. An approach to detect various stages of cancer affected in pancreas is presented in the paper. Results of the study suggest the advantage of using ANN model instead of manual disease diagnosis.

Neural Network, Diagnosis, Fuzzy Logic, Cancer, Pancreatic Cancer