Predictive Analytics Using MATLAB for Biomedical Applications

This guide is written for biomedical engineers, data scientists and researchers who want to apply predictive analytics in MATLAB to real biomedical problems. It gives a technical overview of the main predictive methods and shows how to implement them in MATLAB.

The methods covered include regression analysis, time series analysis and machine learning algorithms. The approach is hands-on, with an emphasis on practical use in biomedical engineering. Case studies show the techniques at work on real problems such as predicting how a disease will progress, analyzing medical imaging data and optimizing treatment outcomes.

Examples and exercises throughout the book let readers reinforce their knowledge and build their skills.