Machine Learning and Predictive Analytics: Advancing Disease Prevention in Healthcare

This article examines the impact of machine learning and predictive analytics on disease prevention in healthcare. By analyzing vast amounts of patient data, these technologies have shown the potential to transform disease identification, diagnosis, and treatment, leading to more effective preventive measures. The findings of this study highlight several key areas where machine learning and predictive analytics have a significant impact. Early diagnosis and identification benefit from the ability of machine learning algorithms to identify subtle patterns in medical records, laboratory results, genetic information, and imaging data. These algorithms help in the early detection and identification of diseases such as cancer, cardiovascular diseases, diabetes, and neurodegenerative disorders.

کلیدواژه ها:

Big Data ، Machine Learning ، Disease Prevention ، Disease Diagnosis ، Disease Treatment