Advancement in Precision Medicine and Recommendation System for Clinical Trials Using Deep Learning Methods

Abstract

Abstract The arena for precision medicine has made vast development in progress with big data, deep learning. The personalized health information provides more insight on patient care in all directions which gives better treatment. Many researchers and peoples accept personalized provides more quality of diagnosis and medicine. This paper provides an overview various methods, algorithms, frameworks developed for personalized healthcare. In this article focus on two main accept one is recommendation system for personalized healthcare which provides more data insight mechanism and approach to diagnosis a patient, second it focus deep learning mechanisms in various fields of healthcare, bioinformatics and genomics to deliver accurate results based on advancements in algorithm. This article reveals both combination of recommendation system along with deep learning quality of precision healthcare achieved to patients.