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Predictive Analytics using MATLAB(R) for Biomedical Applications

  • 1 Edición - 26 de septiembre de 2024
  • Última edición
  • Autor: L. Ashok Kumar
  • Idioma: Inglés

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… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

Biomedical engineers, Biomedical researchers, Biomedical engineering Graduate and Post Graduate Students and Professors

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 26 de septiembre de 2024
  • Idioma: Inglés

Sobre el autor

LK

L. Ashok Kumar

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.
Afiliaciones y experiencia
Principal Thiagarajar College of Engineering Madurai , India

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