ANALYSIS OF BIOMARKERS FOR EARLIER MEDICAL DIAGNOSIS USING NEURAL NETWORKS

Abstract

In today’s scenario new ailments makes a viral spread with no much initial symptoms. Identification of the
impacts, understanding the symptoms and later the diagnosis phase becomes too complex. Earlier detection becomes still
more complex due to lack of successful technologies. Reliability of the methodology adopted to diagnose is another factor
to be considered. The prominent clinical aspect used for the study of any microbial behavior is biomarkers and its
development. Biomarkers are tracked and their response to different therapy are analyzed .Having this analysis as ground
the further measures for earlier diagnosis are carried out. But the accuracy and reliability of the obtained data is an
emerging problem. As the rate of newfangled diseases increases their symptoms and the biomarkers analysis becomes
multifaceted. Hence deep neural networks have been used to study the biomarkers to achieve a considerable range of
accuracy and increase reliability.