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 ones knowledge and skills.
1. Introduction to the Art of Predictive Analysis
2. Mastering MATLAB: A Toolkit for Predictive Analytics
3. Prognostic Insights: Predictive Analytics in Nephrological Diseases
4. Harnessing Predictive Analytics for Cardiovascular Diseases
5. Predictive Analytics in Breast Cancer Prognosis
6. Predicting Parkinson's: Analyzing Patterns with Data and Analytics
7. Predictive Analytics for Diabetes Mellitus: Illuminating Glucose Horizons
8. From Data to Diagnosis:Predictive Analytics in Liver Ailments
9. Pneumonia Predictor: Forecasting Infections with Analytics
10.Predictive Analytics in Alzheimer's Disease: Pioneering Memory Projection
11.Hepatitis Horizon: Predictive Analytics for Improved Detection and Treatment
12. Prostate Cancer Prognostication: Insights from Predictive Analytics
13. Leveraging Predictive Analytics for Asthma Management
14. Predictive Analytics for Brain Tumor Detection and Prognosis
Professor Ashok Kumar is Principal at Thiagarajar College of Engineering, Madurai, India. His current research focuses on integration of renewable energy systems in the smart grid, biomedical applications, and wearable electronics. He has three years of industrial experience and 24 years of academic and research experience. He is also the author of several books and technical papers in national and international journals.
