Machine Learning for Biomedical Engineers

1. Introduction to Machine Learning 2. Overview of Medical Data Modalities and Their Representation 3. Methods for Biomedical Data Pre-processing in Machine Learning 4. Feature Engineering of Biomedical Data 5. Machine Learning for Medical Data Classification 6. Deep Learning Models for Medical Data Analysis 7. Deep Learning and Machine Learning Techniques for Early Prediction of Alzheimer 8. A Cardiac Disease Classification of ECG Signal using Hybrid Fuzzy Machine Learning Algorithm 9. Vision Language Model Based Health Data Retrieval and Trend Analysis System for Chronic Diseases in Balochistan 10. High-performance computing in healthcare 11. Ethical and Legal Considerations for Machine Learning and Deep Learning in Biomedical Engineering 12. Machine Learning-Driven Dyslexia Detection Based on Eye-Tracking Data 13. Acoustic Respiratory Analysis for the Screening of Chronic Obstructive Pulmonary Disease using Machine Learning Techniques 14. Comprehensive Feature Insights into Gait Dynamics in Neurodegenerative Diseases: From Spatio-Temporal to Spatio-Spectral Measures 15. AI-Driven Muscle Coordination Prediction System for Upper Limb Movement Using EMG Signals 16. Real-Time Intelligent Patient Monitoring: A Federated Learning and TinyML-Based Approach 17. AI-Driven Face Recognition and Mask Detection for Secure Attendance Management in the Post-Pandemic Era 18. Automated Machine Learning Techniques for predicting genetic disease by classifying chromosome image