Digital twin technologies for healthcare 4.0

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin...

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Bibliographic Details
Other Authors: Dhanaraj, Rajesh Kumar, (Editor), Murugesan, Santhiya, (Editor), Balusamy, Balamurugan, (Editor), Balas, Valentina Emilia, (Editor)
Format: eBook
Language: English
Published: Hertfordshire, United Kingdom : Institution of Engineering & Technology, 2022.
Series: Healthcare technologies series ; 46.
Subjects:
Medicine > Computer simulation.
Digital twins (Computer simulation)
Medical innovations.
elektronické knihy
electronic books
ISBN: 1839535806
9781839535802
1839535792
9781839535796
Physical Description: 1 online resource (xii, pages).

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Table of contents

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040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d UIU  |d EBLCP  |d GZM  |d UPM  |d VLB  |d OCLCF  |d YDX  |d N$T  |d OCLCO  |d TMA  |d OCLCQ  |d OCLCA  |d WAU  |d OCLCO 
020 |a 1839535806  |q (electronic book) 
020 |a 9781839535802  |q (electronic bk.) 
020 |z 1839535792 
020 |z 9781839535796 
024 7 |a 10.1049/PBHE046E  |2 doi 
035 |a (OCoLC)1375545031  |z (OCoLC)1378025681 
245 0 0 |a Digital twin technologies for healthcare 4.0 /  |c edited by Rajesh Kumar Dhanaraj, Santhiya Murugesan, Balamurugan Balusamy, Valentina E Balas. 
264 1 |a Hertfordshire, United Kingdom :  |b Institution of Engineering & Technology,  |c 2022. 
264 4 |c ©2022 
300 |a 1 online resource (xii, pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Healthcare technologies series ;  |v 46 
504 |a Includes bibliographical references and index 
505 0 |a About the editors -- 1. Introduction: digital twin technology in healthcare -- 2. Convergence of Digital Twin, AI, IOT, and machine learning techniques for medical diagnostics -- 3. Application of digital twin technology in model-based systems engineering -- 4. Digital twins in e-health: adoption of technology and challenges in the management of clinical systems -- 5. Digital twin and big data in healthcare systems -- 6. Data twin data visualization techniques -- 7. Healthcare cyberspace: medical cyber physical system in digital twin -- 8. Cloud secuity-enabled digital twin in e-healthcare -- 9. Digital twin in prognostics and health management system -- 10. Deep learning in Covid-19 detection and diagnosis using CXR images: challenges and perspectives -- 11. Case study: digital twin in cardiology -- Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements. <italic>Digital Twin Technologies for Healthcare 4.0</italic> discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues. With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT and big data analytics for novel applications. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Medicine  |x Computer simulation. 
650 0 |a Digital twins (Computer simulation) 
650 0 |a Medical innovations. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Dhanaraj, Rajesh Kumar,  |e editor. 
700 1 |a Murugesan, Santhiya,  |e editor. 
700 1 |a Balusamy, Balamurugan,  |e editor. 
700 1 |a Balas, Valentina Emilia,  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJjCPfdqQJyMpDymx8gdwC 
710 2 |a Institution of Engineering and Technology,  |e publisher. 
776 0 8 |i Print version:  |t DIGITAL TWIN TECHNOLOGIES FOR HEALTHCARE 4.0.  |d [S.l.] : INST OF ENGIN AND TECH, 2023  |z 1839535792  |w (OCoLC)1356224108 
830 0 |a Healthcare technologies series ;  |v 46. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpDTTH0003/digital-twin-technologies?kpromoter=marc  |y Full text 

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