Machine Learning for Biomedical Engineers - Dinesh Bhatia

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Machine Learning for Biomedical Engineers

By: Dinesh Bhatia (Editor), Vijay Jeyakumar (Editor), N. Venkateswaran (Editor)

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Hardcover | 31 August 2026 | Edition Number 1

At a Glance

Hardcover
390 Pages

Dimensions(cm)
25.4 x 17.8 x 2.24

Hardcover

RRP $263.00

$262.75

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This book combines machine learning and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customized medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various machine learning algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using machine learning in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered.

Provides a broad introduction to machine learning in biomedicine and biomedical engineering
Discusses ethical considerations and explainability pertinent to machine learning in bioengineering
Explores step-by-step tutorials, coding examples, and real-world case studies
Reviews feature selection, training and evaluating models, preprocessing data, validation techniques tailored to biomedical data
Includes MATLAB and Python coding programs

This book is aimed at graduate students and researchers in bioengineering and machine learning.

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