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Python TensorFlow / Keras convolutional neural net (CNN) model trained on EEG data to classify schizophrenia vs control subjects with up to 98% accuracy.

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EEG-Schizophrenia-Classification-CNN-Model

Python TensorFlow / Keras convolutional neural net (CNN) model trained on EEG data to classify schizophrenia vs control subjects with up to 98% accuracy.

Tools Used: Jupyter, Python, MNE, TensorFlow, Keras, Scikit-learn, SciPy, Pandas, NumPy, Matplotlib

Project Ispiration and EEG Data

Graph-based analysis of brain connectivity in schizophrenia - Elzbieta Olejarczyk , Wojciech Jernajczyk Research Paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0188629

Dataset: https://repod.icm.edu.pl/dataset.xhtml?persistentId=doi:10.18150/repod.0107441

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Python TensorFlow / Keras convolutional neural net (CNN) model trained on EEG data to classify schizophrenia vs control subjects with up to 98% accuracy.

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