國立虎尾科技大學 |

Hybrid Artificial Intelligence and IoT in Healthcare

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid Artificial Intelligence and IoT in Healthcare/ edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty, Victor Hugo C. de Albuquerque.
other author:	Kumar Bhoi, Akash.
Description:	XVI, 328 p. 113 illus., 79 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-16-2972-3
ISBN:	9789811629723

Hybrid Artificial Intelligence and IoT in Healthcare
Hybrid Artificial Intelligence and IoT in Healthcare[electronic resource] /edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty, Victor Hugo C. de Albuquerque. - 1st ed. 2021. - XVI, 328 p. 113 illus., 79 illus. in color.online resource. - Intelligent Systems Reference Library,2091868-4408 ;. - Intelligent Systems Reference Library,67.

Chapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare -- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI -- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain -- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis -- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling -- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system -- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT -- Chapter 9. Internet of things in healthcare: A survey -- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm -- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain -- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization -- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals -- Chapter 14. Emerging Technologies for Pandemic and its Impact -- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

ISBN: 9789811629723

Standard No.: 10.1007/978-981-16-2972-3doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Hybrid Artificial Intelligence and IoT in Healthcare
LDR:03775nam a22004095i 4500 001 1049583
003 DE-He213
005 20210921153152.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811629723 $9 978-981-16-2972-3
024 7 $a 10.1007/978-981-16-2972-3 $2 doi
035 $a 978-981-16-2972-3
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Hybrid Artificial Intelligence and IoT in Healthcare $h [electronic resource] / $c edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty, Victor Hugo C. de Albuquerque.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XVI, 328 p. 113 illus., 79 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Intelligent Systems Reference Library, $x 1868-4408 ; $v 209
505 0 $a Chapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare -- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI -- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain -- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis -- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling -- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system -- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT -- Chapter 9. Internet of things in healthcare: A survey -- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm -- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain -- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization -- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals -- Chapter 14. Emerging Technologies for Pandemic and its Impact -- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.
520 $a This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
650 0 $a Computational intelligence. $3 568984
650 0 $a Computer engineering. $3 569006
650 0 $a Internet of things. $3 1023130
650 0 $a Embedded computer systems. $3 562313
650 0 $a Computer software. $3 528062
650 0 $a Health informatics. $3 1064466
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Cyber-physical systems, IoT. $3 1226036
650 2 4 $a Professional Computing. $3 1115983
650 2 4 $a Health Informatics. $3 593963
700 1 $a Kumar Bhoi, Akash. $e editor. $1 https://orcid.org/0000-0003-2759-3224 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1353740
700 1 $a Mallick, Pradeep Kumar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1228386
700 1 $a Narayana Mohanty, Mihir. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1353741
700 1 $a Albuquerque, Victor Hugo C. de. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1353742
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811629716
776 0 8 $i Printed edition: $z 9789811629730
776 0 8 $i Printed edition: $z 9789811629747
830 0 $a Intelligent Systems Reference Library, $x 1868-4394 ; $v 67 $3 1253823
856 4 0 $u https://doi.org/10.1007/978-981-16-2972-3
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)