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Agarwal, Vedik
[MitwirkendeR];
Akın İnsel, Mert
[MitwirkendeR];
Albayrak, Inci
[MitwirkendeR];
Ali, Sajid
[MitwirkendeR];
Chaudhary, Sachin
[MitwirkendeR];
Gonce Kocken, Hale
[MitwirkendeR];
Jayashree, J.
[MitwirkendeR];
Jitendra Chandnani, Chirag
[MitwirkendeR];
Kadry, Seifedine
[HerausgeberIn];
Kalinaki, Kassim
[MitwirkendeR];
Karakuş, Selcan
[MitwirkendeR];
Kaur Thethi, Sukhmani
[MitwirkendeR];
Krishan Sharma, Kewal
[MitwirkendeR];
Kumar Dhanaraj, Rajesh
[HerausgeberIn];
Kumar Vashishth, Tarun
[MitwirkendeR];
Kumar, Bhupendra
[MitwirkendeR];
Leelavati, T. S.
[MitwirkendeR];
Malviya, Rishabha
[HerausgeberIn];
Mohanasundaram, T.
[MitwirkendeR];
Mukarambi, Gururaj
[MitwirkendeR];
Muzamil Aslam, Muhammad
[MitwirkendeR];
Osinga, Sjoukje
[MitwirkendeR];
Panwar, Rajneesh
[MitwirkendeR];
Ryan, Mark
[MitwirkendeR];
[...]
Digital Transformation in Healthcare 5.0
: Volume 1: IoT, AI and Digital Twin
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- Medientyp: E-Book
- Titel: Digital Transformation in Healthcare 5.0 : Volume 1: IoT, AI and Digital Twin
-
Enthält:
Frontmatter
About the book
Preface
Foreword
Contents
List of contributors
Chapter 1 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management
Chapter 2 Introduction to industry’s fourth revolution and its impacts on healthcare
Chapter 3 The Fourth Industrial Revolution: A paradigm shift in healthcare delivery and management
Chapter 4 E-health services and applications: A technological paradigm shift
Chapter 5 Breaking down walls: The influence of virtual reality on accessible healthcare delivery
Chapter 6 Digital twins and dietary health technologies: Applying the capability approach
Chapter 7 Big Data analytics in healthcare system: A systematic review approach
Chapter 8 Machine learning models for cost-effective healthcare delivery systems: A global perspective
Chapter 9 Machine learning models for cost-effective healthcare delivery systems
Chapter 10 Enhancing biomedical signal processing with machine learning: A comprehensive review
Chapter 11 Data-driven AI for information retrieval of biomedical images
Index
- Beteiligte: Agarwal, Vedik [MitwirkendeR]; Akın İnsel, Mert [MitwirkendeR]; Albayrak, Inci [MitwirkendeR]; Ali, Sajid [MitwirkendeR]; Chaudhary, Sachin [MitwirkendeR]; Gonce Kocken, Hale [MitwirkendeR]; Jayashree, J. [MitwirkendeR]; Jitendra Chandnani, Chirag [MitwirkendeR]; Kadry, Seifedine [HerausgeberIn]; Kalinaki, Kassim [MitwirkendeR]; Karakuş, Selcan [MitwirkendeR]; Kaur Thethi, Sukhmani [MitwirkendeR]; Krishan Sharma, Kewal [MitwirkendeR]; Kumar Dhanaraj, Rajesh [HerausgeberIn]; Kumar Vashishth, Tarun [MitwirkendeR]; Kumar, Bhupendra [MitwirkendeR]; Leelavati, T. S. [MitwirkendeR]; Malviya, Rishabha [HerausgeberIn]; Mohanasundaram, T. [MitwirkendeR]; Mukarambi, Gururaj [MitwirkendeR]; Muzamil Aslam, Muhammad [MitwirkendeR]; Osinga, Sjoukje [MitwirkendeR]; Panwar, Rajneesh [MitwirkendeR]; Ryan, Mark [MitwirkendeR]; Shafik, Wasswa [MitwirkendeR]; Sharma, Vikas [MitwirkendeR]; Shastry, Aravind [MitwirkendeR]; Shastry, K. Aditya [MitwirkendeR]; Shukla, Shanay [MitwirkendeR]; Singh, Priya [MitwirkendeR]; Sripathi, Madhavi [MitwirkendeR]; Sundram, Sonali [HerausgeberIn]; Tiwari, Sankata [MitwirkendeR]; Tufail, Ali [MitwirkendeR]; Vetrivel, S. C. [MitwirkendeR]; Vijayashree, J. [MitwirkendeR]; Yusuf Zakari, Rufai [MitwirkendeR]
- Erschienen: Berlin; Boston: De Gruyter, [2024]
- Erschienen in: Smart Computing Applications ; 9/1
- Umfang: 1 Online-Ressource (XIV, 334 p.)
- Sprache: Englisch
- DOI: 10.1515/9783111327853
- ISBN: 9783111327853
- Identifikator:
- Schlagwörter: COMPUTERS / Intelligence (AI) & Semantics ; Artificial Intelligence ; Big Data ; Blockchain ; IoMT, Nanorobots ; Remote Patient monitoring ; Smart Healthcare ; Tricorder ; Virtual reality ; e-health
- Reproduktionsnotiz: Issued also in print
- Entstehung:
-
Anmerkungen:
In English
- Beschreibung: "Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images
- Zugangsstatus: Eingeschränkter Zugang | Informationen zu lizenzierten elektronischen Ressourcen der SLUB