Predictive Analytics using MATLAB(R) for Biomedical Applications

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2024
ISBN13: 9780443298882
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Elsevier Science e druk, 2024 9780443298882
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Samenvatting

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.

Specificaties

ISBN13:9780443298882
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Introduction to the art of predictive analysis<br>2. Prognostic insights: predictive analytics in nephrological diseases<br>3. Harnessing predictive analytics for cardiovascular diseases<br>4. Predictive analytics in breast cancer prognosis<br>5. Predicting Parkinson&rsquo;s: analyzing patterns with data and analytics<br>6. Predictive analytics for diabetes mellitus: illuminating glucose horizons<br>7. From data to diagnosis: predictive analytics in liver ailments<br>8. Predictive analytics in Alzheimer&rsquo;s disease: pioneering memory projection<br>9. Prostate cancer prognostication: insights from predictive analytics<br>10. Leveraging predictive analytics for asthma management<br>11. Predictive analytics for brain tumor detection and prognosis<br>12. A comprehensive overview of predictive analytics in biomedical applications

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        Predictive Analytics using MATLAB(R) for Biomedical Applications