smruthig/Schizophrenia_Analysis_using_GNN_and_ML
Graph Neural Network and Machine Learning Analysis of Functional Neuroimaging for Understanding Schizophrenia
This project helps neuroscientists and clinical researchers analyze resting-state functional Magnetic Resonance Imaging (rs-fMRI) data to better understand schizophrenia. It takes rs-fMRI scans as input and outputs insights into functional brain connectivity patterns and potential disease biomarkers. The primary users are researchers focused on psychiatric disorders and neuroimaging.
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Use this if you are a neuroimaging researcher analyzing rs-fMRI data to detect or understand schizophrenia and want to leverage advanced machine learning and graph neural network techniques.
Not ideal if your research involves other neurological conditions or different types of brain imaging data.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 15, 2024
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