Utilizing Big Data Analytics to Predict Healthspan Outcomes from Genomic Data

Abstract

A vast amount of data is generated in various medical fields that can improve predictions and clinical decision-making. The use of big data analytics in medicine, especially in areas related to health and lifespan, can play a crucial role. This article examines the applications of big data in predicting health outcomes using genomic data. Big data analytics in medicine can play a vital role in predicting and managing diseases, improving clinical decision-making, and enhancing health outcomes. Combining genomic data with big data analytics can help identify complex patterns and provide personalized therapies. Given the high potential of this approach, further research is needed in this area to capitalize on available opportunities and address existing challenges.