Predictive Analytics Using Matlab(r) for Biomedical Applications

By: Kumar, L. Ashok

Predictive Analytics using MATLAB(R) for Biomedical Applications is a comprehensive and practical guide for biomedical engineers, data scientists, and researchers on how to use predictive analytics techniques in MATLAB(R) for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB(R) for implementing these techniques. It includes several case studies that demonstrate how predictive analytics can be applied to real-world biomedical problems, such as predicting disease progression, analyzing medical imaging data, and optimizing treatment outcomes.

With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one's knowledge and skills.

• Format: Paperback
• Language: English
• ISBN: 0443298882
• ISBN13: 9780443298882
• Release Date: October 2024
• Publisher: Academic Press
• Length: 480 Pages
• Weight: 2.02 lbs.
• Dimensions: 1.0" x 7.4" x 9.2"