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Computational intelligence and machine learning approaches in biomedical engineering and health care systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence and machine learning approaches in biomedical engineering and health care systemsedited by Parvathaneni Naga Srinivasu ... [et al.]
其他作者:	Srinivasu, Parvathaneni Naga,
出版者:	Singapore :Bentham Science,2022.
面頁冊數:	1 online resource.
標題:	Biomedical engineering.
電子資源:	https://www.eurekaselect.com/ebook_volume/3418
ISBN:	9781681089553$q(Online)

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[electronic resource] /edited by Parvathaneni Naga Srinivasu ... [et al.] - 1st ed. - Singapore :Bentham Science,2022. - 1 online resource.

Includes bibliographical references and index.

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 on the impact on the 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.

ISBN: 9781681089553$q(Online)Subjects--Topical Terms:

190330
Biomedical engineering.

LC Class. No.: R856

Dewey Class. No.: 610.28/4

National Library of Medicine Call No.: QT 36

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520 $a 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 on the impact on the 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.
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