🧠 TADPOLE Challenge - Alzheimer's Disease Prediction

The TADPOLE Challenge (Alzheimer's Disease Prediction Of Longitudinal Evolution) is a global initiative aimed at predicting future data for elderly individuals at risk of developing Alzheimer’s disease, particularly participants from the ADNI-3 study.

This challenge is organized by the EuroPOND consortium in collaboration with the Alzheimer's Disease Neuroimaging Initiative (ADNI).

📝 Project Overview

This repository provides a solution for errors encountered while using the "TADPOLE_D1.m" and "TADPOLE_D2.m" MATLAB files, which are commonly used in conjunction with the TADPOLE Challenge datasets. If you experienced code issues in MATLAB when working with these files, this repository offers a fix.

🔄 Updates and Improvements

• The TADPOLE database has been upgraded to include 2021 CSV data, improving upon the original 2017 TADPOLE Challenge database.
• This update helps to better predict Alzheimer’s cases by providing a more balanced and comprehensive dataset, leading to improved prediction accuracy.
• For more information, take a look at the Bachelor's Thesis: "Prediction of Alzheimer's vs. Dementia", which achieved better results than the official challenge with a mAUC = 0.935 and BCA = 0.87.

🔗 Useful Links

• TADPOLE Challenge Website: TADPOLE Challenge
• EuroPOND Consortium: EuroPOND
• ADNI Initiative: Alzheimer's Disease Neuroimaging Initiative
• GitHub Repository: TADPOLE GitHub Repository