Cancer is a class of diseases characterized by
out-of control cell growth and pancreatic cancer (PC) occurs
when this uncontrolled cell growth begins in the pancreas. If
it is malignant and not detected at early stages, it may cause
death. The aim of this research work is to present artificial
neural network and fuzzy logic in pancreatic disease
diagnosis based on a set of symptoms. The real procedure of
medical diagnosis which usually is employed by physicians
was analysed and converted to a machine implementable
format. This paper presents an approach to detect the
various stages of pancreatic cancer affected patients.
Outcome suggests the effectiveness of using neural network
over manual detection procedure.
Published In:IJCSN Journal Volume 5, Issue 6
Date of Publication : December 2016
Pages : 873-877
Tables : --
N. V. Ramana Murty : Research Scholar, Department of Computer Science Engineering,
Rayalaseema University, Kurnool,
Andhra Pradesh, India.
M. S. Prasad Babu : Senior Professor, Department of CS & SE, AU College of Engineering (A),
Andhra University, Visakhapatnam – 530041 ,
Andhra Pradesh, India.
Neural Networks , Pancreatic Cancer , Fuzzy
This System presents a neural network based approach for
pancreatic cancer diagnosis. Pancreatic cancer detection in
its early stage is the key of its cure. The automatic
diagnosis of pancreatic cancer is an important medical
problem. This system uses a set of fuzzy values
incorporated into neural network system is more effecter
than the normal system.
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