PRE-DIAGNOSIS OF LUNG CANCER USING FEED FORWARD NEURAL NETWORK AND BACK PROPAGATION ALGORITHM
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 9
Abstract
Cancer is the most important cause of death for both men and women. The early detection of cancer can be helpful in curing the disease completely. So the requirement of techniques to detect the occurrence of cancer nodule in early stage is increasing. A disease that is commonly misdiagnosed is lung cancer. Artificial Neural Networks (ANNs) play a vital role in the medical field in solving various health problems like acute diseases and even other mild diseases. Earlier diagnosis of Lung Cancer saves enormous lives, failing which may lead to other severe problems causing sudden fatal end. Its cure rate and prognosis depends mainly on the early detection and diagnosis of the disease. This paper provides a Feed Forward Artificial Neural Network Model for early detection of lung cancer. The model consists of an input layer, a hidden layer and an output layer. The network is trained with one hidden layer and one output layer by giving twelve inputs. One of the most common forms of medical malpractices globally is an error in diagnosis. The paper provides a formula for Error Detection and on the basis of error weights are adjusted and system is improved. Aim of the paper is to propose a model for early detection and correct diagnosis of the disease which will help the doctor in saving the life of the patient.
Authors and Affiliations
Mr. Abhinav Vishwa , Ms. Alka Vishwa , Prof. Archana Sharma
Keywords
Related Articles
- EP ID EP119244
- DOI -
- Views 95
- Downloads 0
A Lossless Recovery of Data Embedded in Color Image Based On Block Division Method
Today, digital media are getting more and more popular. Not only multilevel images, video and audio are in digital form, but gray scale images are also digitized in many applications. Data transmitted over the internet c...
Performance of SIFT based Video Retrieval
Video has become an important element of multimedia computing and communication environments, with applications as varied as broadcasting, education, publishing and military intelligence. In Video Retrieval system, each...
The role of Ethics in the process of Technology Transfer and Development of 206 Peugeot
Looking at the past history we find that the first phenomenon of technology transfer was taught by people who were traveling to another community and bring their technology, they move. After the industrialization, transf...
Knowledge-driven Intuitionistic Fuzzy Decision Support for finding out the causes of Obesity
In this paper, we propose an Intuitionistic Fuzzy decision support system for determining the causes of a more or less common disorder – obesity. Obesity can be simply lifestyle related i.e. excessive food energy intake...
Regression and ARIMA hybrid model for new bug prediction
A multiple linear regression and ARIMA hybrid model is proposed for new bug prediction depending upon resolved bugs and other available parameters of the open source software bug report. Analysis of last five year bug r...