GitHub Repository Report
Introduction As data scientists and researchers, we are constantly seeking ways to push the boundaries of accuracy and efficiency in various domains. In the field of medical image processing, the accuracy of age prediction based on anatomical features can have significant implications for diagnosing and understanding age-related conditions. In this project, we embarked on a journey to optimize biological age prediction from brain anatomical volume measurements. Our goal was to determine whether splitting patients into subgroups and developing prediction models for each subgroup could improve the accuracy of age prediction compared to a global prediction model.
...