yuzengyi / NeuroAD-Diagnosis-Model

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NeuroAD-Diagnosis-Model

Introduction

This repository contains the code and resources for the paper "A Neural Network-Based Intelligent Diagnosis Model for Alzheimer's Disease" by Zengyi Yu, presented at the International Forum on the Intersection of Psychology and Neuromedical Engineering - 17th International Conference on Complex Medical Engineering (CME2023). It focuses on using neural networks for early and precise detection of Alzheimer's Disease.

Installation

Clone the repo:

git clone https://github.com/yuzengyi/NeuroAD-Diagnosis-Model.git

MATLAB

Open the MATLAB script in your MATLAB environment and run.

Note: Ensure all dependencies are installed.

Dependencies

  • Python 3.x
  • NumPy
  • Pandas
  • Scikit-Learn
  • Matplotlib
  • MATLAB

Data

Dataset from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Not included in the repository due to privacy concerns.

Acknowledgments

  • Alzheimer’s Disease Neuroimaging Initiative (ADNI)
  • International Forum on the Intersection of Psychology and Neuromedical Engineering - CME2023

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Language:Python 92.4%Language:MATLAB 7.6%