Machine Driven

Machine-driven analytics leverages artificial intelligence and machine learning to automate data analysis and decision-making across diverse fields. Current research emphasizes developing autonomous systems, user-centric AI for personalized applications (like healthcare), and robust algorithms (including XGBoost, SVM, and others) for accurate predictions and improved model interpretability. This approach is significantly impacting various sectors, from optimizing healthcare management and precision medicine to enhancing industrial processes and accelerating scientific discovery through efficient data analysis and idea generation.