A Review and Survey of Artificial Neural Network in Medical Science

Abstract

The current era of computer science and medical science functioning together to solve complex challenges such as diseases and medical instruments which are highly effective to use for the solution of algorithms and mathematical problems, while some challenges still need to improve in their techniques and algorithms, for instance, facial recognition, voice recognition, and processing of a language are current issues. This paper is twofold, first provides the classification of Artificial Neural Networks (ANNs) and second present the techniques of medical science which comprehensively enables the ANNs techniques to the prediction of medical diseases. ANNs techniques are extensively used in medical science. Computing based models are really effective to fine vector born disease and artificial neural network provided good efficiency in diagnosis. Also neural network is useful to check cancer, cardio vascular and diabetic patient. It is perceived through previous literature that by employing ANNs techniques in medical science can improve to diagnose in an intelligent way such as to develop the drugs prescription, recordkeeping of patients by maintaining the patient’s history so it can be easy to analyze the prediction of diseases.