OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease and OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
These are complementary projects that address the same prediction task using different input modalities—the first uses general features while the second specifically incorporates MRI imaging data—making them suitable for ensemble approaches or comparative analysis rather than direct substitution.
About OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).
This project helps medical researchers and clinicians predict the progression level of Alzheimer's Disease (AD) in patients. By inputting demographic, cognitive, and medical history data, it outputs a predicted AD progression level (from 0 to 3.0). This tool is designed for healthcare professionals involved in AD diagnosis, treatment planning, and research.
About OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data
This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.
This project helps medical researchers and clinicians predict the progression of Alzheimer's disease using MRI scans. By analyzing a patient's brain MRI data, it can classify their current stage of Alzheimer's, providing insights into how the disease is advancing. This tool is designed for healthcare professionals and scientists working with neuroimaging in AD research or diagnosis.
Scores updated daily from GitHub, PyPI, and npm data. How scores work