Personalized Medicine and Predictive Analytics A Review of Computational Methods

Personalized medicine, driven by advancements in computational methods and predictive analytics, has emerged as a revolutionary approach to healthcare. This review provides an in depth exploration of the foundations, key principles, and computational techniques that underpin personalized medicine. It highlights the significance of personalized medicine in tailoring treatments to individual patients, optimizing healthcare outcomes, and enhancing the quality of care. Additionally, this review discusses the challenges and future prospects of personalized medicine in the context of predictive analytics, offering insights into the evolving landscape of healthcare. Transitioning from the foundational understanding of personalized medicine, we delve into the pivotal role of predictive analytics within this paradigm. Predictive analytics, a branch of data science, is the driving force behind the precision and individualization inherent in personalized medicine. It harnesses the power of advanced computational methods and algorithms to process vast datasets and generate predictions about future events, in this case, patient outcomes and treatment responses. Snowza Chrysolite. D "Personalized Medicine and Predictive Analytics: A Review of Computational Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59982.pdf Paper Url: https://www.ijtsrd.com/medicine/other/59982/personalized-medicine-and-predictive-analytics-a-review-of-computational-methods/snowza-chrysolite-d