Predictive Power of Machine Learning in Chronic Disease: A Comprehensive Review and Meta-Analysis

Chronic diseases pose a significant global health challenge, affecting over a quarter of adults and placing a big burden on healthcare systems and individuals. The advent of the “Smart Healthcare” era and edge cut technologies opened up new possibilities for managing chronic diseases. This article focuses on chronic diseases with a high risk of development, including lung carcinoma, breast cancer, colorectal cancer, gastrointestinal cancer, liver cancer, cataracts, and cardiovascular-cerebrovascular diseases. The rates of these diseases were found to be 57.85%, 74.63%, 22.13%, 41.65%, 53.39%, 20.24%, and 83.94%, respectively. The study discusses the implications of these findings and underscores the importance of leveraging advanced technologies for effective management and prevention of chronic diseases.