Amir-Hofo/AI_in_Biomedical_Data
This educational repository focuses on working with three types of medical data: tabular data, ECG and EEG signals. It provides implementations of machine learning and deep learning models for processing and analyzing these medical data, with practical projects based on recent research articles.
This educational resource helps biomedical researchers and students understand how to apply artificial intelligence to medical data. It guides you through using machine learning and deep learning models to analyze various medical data types, including tabular patient records, ECG heart signals, and EEG brain signals. You'll learn to process this data and build models for tasks like disease classification or interpreting brain activity.
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Use this if you are a biomedical student or researcher looking to apply AI techniques to medical datasets for analysis and classification.
Not ideal if you are looking for a plug-and-play software tool for immediate medical diagnosis or advanced clinical decision support.
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Mar 28, 2025
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