Predictive Analytics using MATLAB(R) for Biomedical Applications 1st Edition

Predictive Analytics using MATLAB(R) for Biomedical Applications, 1st Edition by L. Ashok Kumar is a practical, expertly written guide that brings advanced data science into the service of medicine. Clear, authoritative, and application-focused, this book walks readers through building robust predictive models with MATLAB to solve real-world biomedical problems.

Start applying analytics immediately with lucid explanations of core techniques—regression, classification, time-series forecasting, feature selection, dimensionality reduction, and signal and image processing—each illustrated through biomedical case studies. The author emphasizes reproducible workflows and interpretable models so clinicians, biomedical engineers, and researchers can translate data insights into safer diagnostics, better patient stratification, and smarter clinical decision support.

Readers gain confidence from stepwise examples that balance theory and practice. You’ll see how to prepare noisy biosignals, extract meaningful features from medical images, evaluate model performance for clinical relevance, and optimize algorithms for deployment. Content is organized for quick reference and deep study, making it ideal for graduate students, hospital data scientists, and biotech professionals seeking a MATLAB-centered approach to health data.

Whether you work in academic research, clinical analytics, or industry R&D—across North America, Europe, Asia, or beyond—this book equips you with tools to turn complex biomedical data into actionable predictions. The writing is professional yet accessible, designed to accelerate adoption of predictive analytics in healthcare settings while preserving scientific rigor.

Add Predictive Analytics using MATLAB(R) for Biomedical Applications by L. Ashok Kumar to your collection to build practical skills, bridge the gap between data and care, and lead analytics-driven improvements in biomedical research and patient outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.