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.
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Use this if you need to determine a patient's probable Alzheimer's disease progression level based on a comprehensive set of patient characteristics.
Not ideal if you need a diagnostic tool for other neurological conditions or if your patient data does not include the specific features required for prediction.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Nov 06, 2022
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