Produktbild: Artificial Intelligence in E-Health Framework, Volume 1
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Artificial Intelligence in E-Health Framework, Volume 1 Ai, Classification, Wearable Devices, and Computer-Aided Diagnosis

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2025

Herausgeber

Sudip Paul + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

344

Maße (L/B/H)

22,8/15/1,8 cm

Gewicht

517 g

Sprache

Englisch

ISBN

978-0-443-13816-4

Beschreibung

Portrait

Dr. Sudip Paul presently holds the position of Associate Professor in the Department of Biomedical Engineering at the National Institute of Technology, Raipur, India. He conducted his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth, under the Biotechnology Overseas Associateship scheme for scientists from the North-Eastern States of India (2017-18), supported by the Department of Biotechnology, Government of India. He obtained his Ph.D. from the Indian Institute of Technology (Banaras Hindu University), Varanasi, specializing in Electrophysiology and brain signal analysis. He organized numerous workshops and conferences, notably the 40th Indian Academy of Neuroscience Annual Meeting in 2022, the IEEE Conference on Computational Performance Evaluation in 2020 and 2021, the IRBO/APRC Associate School in 2017, the IBRO Global Engagement in 2021, the IBRO Meeting in 2021, and the 29th Annual Meeting of the Society for Neurochemistry, India in 2015. Dr. Sudip has published about 60 publications in international and national journals, as well as over 50 conference papers across several international and national platforms. He possesses 7 granted patents and 6 granted copyrights. He has finalized 20 book projects as an editor or author with Springer Nature, Elsevier, IGI Global, and others. Dr. Sudip is a Senior Member of IEEE and belongs to various societies and professional organizations, including IAN, IEEE-EMBS, APSN, ISN, and IBRO. He was honored with numerous accolades, notably the World Federation of Neurology (WFN) traveling fellowship, the Young Investigator Award, the IBRO Travel Award, and the ISN Travel Award. Dr. Sudip also imparted his expertise to other international publications as a member of the editorial board and as a reviewer. He has showcased his research achievements in several nations, including the USA, Greece, France, South Africa, and Australia.

Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General's Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.01.2025

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

344

Maße (L/B/H)

22,8/15/1,8 cm

Gewicht

517 g

Sprache

Englisch

ISBN

978-0-443-13816-4

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Kolibri 360 GmbH
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DE
produktsicherheit@kolibri360.de

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Artificial Intelligence in E-Health Framework, Volume 1
  • Section 1: Introduction to Artificial Intelligence
    1. Data Processing
    2. Regression, Classification, and Clustering Algorithms
    3. Deep Learning

    Section 2: Application of Artificial Intelligence in Disease Diagnosis
    4. Application of Artificial Intelligence in Pioneering Heart Disease Detection
    5. From Data to Diagnosis: Leveraging Machine Learning for Heart Disease Classification with the Cleveland Heart Disease Dataset
    6. AI-based Treatment Solutions
    7. Application of AI in Big Data Management

    Section 3: AI in Health Monitoring and Wearables Devices
    8. Remote Health Monitoring Using Artificial Intelligence
    9. Predicting Women’s Fertility with AI
    10. A Comparative Study on "Face Mask Detection" Using Machine Learning and Deep Learning Algorithms
    11. Enhancing Communication: A Review on AI Wearables for the Deaf and Mute
    12. AI based cuffless digital sphygmomanometric measuring system for chronic illness patients

    Section 4: Application of AI Medical Image Recognition
    13. Identifying Cardiovascular Abnormalities
    14. Non-linear Activation Functions of CNN for Classification of MRI Brain tumor Images
    15. Artificial Intelligence-Based Management Prospects of Neurological Disorders with Special Reference to Epilepsy
    16. Screening for Common Cancers