Code and Report relating to the 72-hour University GameJam competition
-
Updated
Jun 14, 2023 - C#
Code and Report relating to the 72-hour University GameJam competition
Code for NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records using Deep Learning and Natural Language Processing
This repository contains a machine learning algorithm that will be used to predict whether or not patients have Alzheimer's disease.
SF Hacks 2021 Submission - Helps Identify alzheimer with MOCA Test
This project uses a TinyVGG16-based CNN to classify MRI scans for Alzheimer's Disease stages: Mild Impairment, Moderate Impairment, No Impairment, and Very Mild Impairment. It includes Jupyter notebooks for training and prediction, and a Streamlit app for easy inference. The model achieves high metrics in predicting Alzheimer's stages.
Add a description, image, and links to the alzeheimers topic page so that developers can more easily learn about it.
To associate your repository with the alzeheimers topic, visit your repo's landing page and select "manage topics."