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Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
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Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems

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Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms.

Key Features:

- Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context

- Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms

- Introduces readers to the concept of telemedicine and electronic healthcare systems

- Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer’s disease

- Summarizes key information for learners

- Includes references for advanced readers

The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.
LanguageEnglish
Release dateOct 5, 2022
ISBN9781681089553
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
Author

Parvathaneni Naga Srinivasu

Parvathaneni Naga Srinivasu has earned his Ph.D. degree at GITAM (Deemed to be University) and his areas of research include Biomedical Imaging, Image Enhancement, Image Segmentation, Object Recognition, Image Encryption, Optimization Algorithms, Soft computing, and Natural Language Processing. He is working as an Assistant Professor at the Department of Computer Science and Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam. He is a member of CSI, IAENG, IARA and a regular reviewer for Scopus indexed journals like JCS and IJAIP, Inderscience. He is a guest editor for the special issues and books that are published by reputed publishers like Bentham Science, Springer, and Elsevier. He is a passionate researcher and his articles have been published in national and international journals alongside conferences.

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    Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems - Parvathaneni Naga Srinivasu

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