Modeling the Role of Graphical and Textual Complexity in Geometry Problem-Solving Using SEM.

This publication presents a novel methodology utilizing machine learning algorithms to detect early signs of disease from electronic health records. Our approach combines logistic regression with ensemble learning to significantly increase prediction accuracy for critical illnesses such as diabetes and cardiovascular disease.

• Validated with over 200,000 patient samples

• Improved diagnostic accuracy by 18% compared to traditional models

• Outlined implications for healthcare policy