An Effective Analysis of Personalized Medicine using Convolutional Neural Networks

  • Anbarasi R, Dr. Krishnaveni R

Abstract

The high throughput technology causes the advanced a vast development in biological technology as a holistic science to achieve more precise modeling of complex diseases. It provides sufficient support in the medical field.  Nowadays, people moving from two-tiered health systems to two-tiered personalized medicine. In the proposed model, The implemented the biomedical big data in personalized medicine. This review provides an update of important developments in the analysis of big data and facilitating the design of clinical procedures in Personalized Medicine.The dataset contains helpful information which are required for the further research improvement. The final product gives a decent expectation results for additional improvement about the quality. It contains results about the qualities, variety, definite content and forecast score about the dataset.

Published
2020-06-01
How to Cite
Anbarasi R, Dr. Krishnaveni R. (2020). An Effective Analysis of Personalized Medicine using Convolutional Neural Networks. International Journal of Advanced Science and Technology, 29(08), 2076 - 2083. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/23327
Section
Articles