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Predictive Analytics using MATLAB(R) for Biomedical Applications
- 1st Edition - October 1, 2024
- Author: L. Ashok Kumar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 8 8 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 8 9 - 9
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 pr… Read more
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Request a sales quotePredictive 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 for solving real-world biomedical problems. The book offers a technical overview of various predictive analytics methods and covers the utilization of MATLAB 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.
With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one’s knowledge and skills.
1. Introduction to the art of predictive analysis
2. Prognostic insights: predictive analytics in nephrological diseases
3. Harnessing predictive analytics for cardiovascular diseases
4. Predictive analytics in breast cancer prognosis
5. Predicting Parkinson’s: analyzing patterns with data and analytics
6. Predictive analytics for diabetes mellitus: illuminating glucose horizons
7. From data to diagnosis: predictive analytics in liver ailments
8. Predictive analytics in Alzheimer’s disease: pioneering memory projection
9. Prostate cancer prognostication: insights from predictive analytics
10. Leveraging predictive analytics for asthma management
11. Predictive analytics for brain tumor detection and prognosis
12. A comprehensive overview of predictive analytics in biomedical applications
2. Prognostic insights: predictive analytics in nephrological diseases
3. Harnessing predictive analytics for cardiovascular diseases
4. Predictive analytics in breast cancer prognosis
5. Predicting Parkinson’s: analyzing patterns with data and analytics
6. Predictive analytics for diabetes mellitus: illuminating glucose horizons
7. From data to diagnosis: predictive analytics in liver ailments
8. Predictive analytics in Alzheimer’s disease: pioneering memory projection
9. Prostate cancer prognostication: insights from predictive analytics
10. Leveraging predictive analytics for asthma management
11. Predictive analytics for brain tumor detection and prognosis
12. A comprehensive overview of predictive analytics in biomedical applications
- No. of pages: 500
- Language: English
- Edition: 1
- Published: October 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443298882
- eBook ISBN: 9780443298899
LK
L. Ashok Kumar
Professor Ashok Kumar is at the Department of Electrical & Electronics Eng., PSG College of Technology. He is Associate Head of Department and his is current research focuses are Integration of Renewable Energy Systems in the Smart Grid and Wearable Electronics. He has 3 years of industrial experience and 17 years of academic and research experiences. He has authored 9 books, published 110 technical papers in International and National Journals and presented 107 papers in National and International Conferences.
Affiliations and expertise
Professor, Department of Electrical and Electronics Eng., PSG College of Technology, Coimbatore, India