A Survey on Neural Network Models for Diagnostic Problems

Neural network plays an important role in Health care. It really helps to predict the disease based on collated data, Diagnosis in the medical field is a complicated task that should be performed with accuracy and efficiency. A diagnosis performed by a physician for a single patient may differ significantly if the same is examined by the other physicians or by the same physicians at different times to that single patient. Now a days, automated medical analysis are used to help this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background. Successful application examples show that human diagnostic capabilities are significantly worse than the neural diagnostic systems. Then, paradigm of neural networks is shortly introduced and the main problems of medical data base and the basic approaches for training and testing a network by medical data are described. Additionally, the problem of interfacing the network and its result is given and the optimal Back propagation algorithm approach is presented. Finally, as case study of neural rule based diagnosis septic shock diagnosis is described, on one hand by a growing neural network and on the other hand by a rule based system. KeywordsNeural Networks – ANN , Optimal Back Propagat-tion algorithm, Diagnosis, Neural Networks Deepak Pal et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.10, October2015, pg. 69-78 © 2015, IJCSMC All Rights Reserved 70