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OverviewPredictive 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. Full Product DetailsAuthor: L. Ashok Kumar, PhD (Principal Thiagarajar College of Engineering Madurai , India)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Weight: 0.450kg ISBN: 9780443298882ISBN 10: 0443298882 Pages: 480 Publication Date: 26 September 2024 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationProfessor 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. Tab Content 6Author Website:Countries AvailableAll regions |