Predictive Analytics using MATLAB(R) for Biomedical Applications
Autor L. Ashok Kumaren Limba Engleză Paperback – 26 sep 2024
With a plethora of examples and exercises, this book is the ultimate tool for reinforcing one’s knowledge and skills.
- Covers various predictive analytics methods, including regression analysis, time series analysis, and machine learning algorithms, providing readers with a comprehensive understanding of the field
- Provides a hands-on approach to learning predictive analytics, with a focus on practical applications in biomedical engineering
- Includes several case studies that demonstrate the practical application of predictive analytics in real-world biomedical problems, such as disease progression prediction, medical imaging analysis, and treatment optimization
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Specificații
ISBN-13: 9780443298882
ISBN-10: 0443298882
Pagini: 480
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443298882
Pagini: 480
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
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