Integrating AI in IoT analytics on the cloud for healthcare applications:
Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2021
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-706 DE-573 DE-1050 DE-1049 DE-83 Volltext |
| Zusammenfassung: | Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students |
| Beschreibung: | Includes bibliographical references and index Chapter 1. Virtual digital twins: a renaissance in precision nutrition approach -- Chapter 2. Smart medical kit in chronic kidney disease management -- Chapter 3. Application of machine learning in data analytics on COVID-19 first wave in India: COVID-19 first wave analytics on the cloud -- Chapter 4. An IoT-based sanitation monitoring system using machine learning for stagnant water to prevent water-borne diseases -- Chapter 5. Relevance of artificial intelligence in modern healthcare -- Chapter 6. Secured healthcare data analytics on the cloud using blockchain-based techniques -- Chapter 7. IoT security issues, challenges, threats, and solutions in healthcare applications -- Chapter 8. Edge analytics with machine learning technique for medical IoT applications -- Chapter 9. AI-based IoT analytics on the cloud for diabetic data management system -- Chapter 10. Edge computing for secured IoT analytics on the cloud -- Chapter 11. Automated early prediction of anomalies due to diabetes using fundus images -- Chapter 12. Internet of things-empowered next-generation healthcare systems -- Chapter 13. Information science in the analytics of healthcare data -- Chapter 14. Smart healthcare IoT applications using AI -- Chapter 15. Futuristic research perspectives of IoT platforms. - Mode of access: World Wide Web |
| Beschreibung: | 1 Online-Ressource (312 Seiten) |
| ISBN: | 9781799891345 |
| DOI: | 10.4018/978-1-7998-9132-1 |
Internformat
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| 520 | |a Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students | ||
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Datensatz im Suchindex
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| doi_str_mv | 10.4018/978-1-7998-9132-1 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:05:55Z |
| indexdate | 2024-07-20T06:38:31Z |
| institution | BVB |
| isbn | 9781799891345 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033196990 |
| oclc_num | 1296324683 |
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| physical | 1 Online-Ressource (312 Seiten) |
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| spelling | Integrating AI in IoT analytics on the cloud for healthcare applications edited by D. Jeya Mala Integrating artificial intelligence in Internet of things analytics on the cloud for healthcare applications Hershey, Pennsylvania IGI Global 2021 1 Online-Ressource (312 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Chapter 1. Virtual digital twins: a renaissance in precision nutrition approach -- Chapter 2. Smart medical kit in chronic kidney disease management -- Chapter 3. Application of machine learning in data analytics on COVID-19 first wave in India: COVID-19 first wave analytics on the cloud -- Chapter 4. An IoT-based sanitation monitoring system using machine learning for stagnant water to prevent water-borne diseases -- Chapter 5. Relevance of artificial intelligence in modern healthcare -- Chapter 6. Secured healthcare data analytics on the cloud using blockchain-based techniques -- Chapter 7. IoT security issues, challenges, threats, and solutions in healthcare applications -- Chapter 8. Edge analytics with machine learning technique for medical IoT applications -- Chapter 9. AI-based IoT analytics on the cloud for diabetic data management system -- Chapter 10. Edge computing for secured IoT analytics on the cloud -- Chapter 11. Automated early prediction of anomalies due to diabetes using fundus images -- Chapter 12. Internet of things-empowered next-generation healthcare systems -- Chapter 13. Information science in the analytics of healthcare data -- Chapter 14. Smart healthcare IoT applications using AI -- Chapter 15. Futuristic research perspectives of IoT platforms. - Mode of access: World Wide Web Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students Medical informatics Technological innovations Artificial intelligence Medical applications Data mining Mala, D Jeya edt IGI Global Sonstige oth Erscheint auch als Druck-Ausgabe 9781799891321 Erscheint auch als Druck-Ausgabe 1799891321 https://doi.org/10.4018/978-1-7998-9132-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Integrating AI in IoT analytics on the cloud for healthcare applications Medical informatics Technological innovations Artificial intelligence Medical applications Data mining |
| title | Integrating AI in IoT analytics on the cloud for healthcare applications |
| title_alt | Integrating artificial intelligence in Internet of things analytics on the cloud for healthcare applications |
| title_auth | Integrating AI in IoT analytics on the cloud for healthcare applications |
| title_exact_search | Integrating AI in IoT analytics on the cloud for healthcare applications |
| title_exact_search_txtP | Integrating AI in IoT analytics on the cloud for healthcare applications |
| title_full | Integrating AI in IoT analytics on the cloud for healthcare applications edited by D. Jeya Mala |
| title_fullStr | Integrating AI in IoT analytics on the cloud for healthcare applications edited by D. Jeya Mala |
| title_full_unstemmed | Integrating AI in IoT analytics on the cloud for healthcare applications edited by D. Jeya Mala |
| title_short | Integrating AI in IoT analytics on the cloud for healthcare applications |
| title_sort | integrating ai in iot analytics on the cloud for healthcare applications |
| topic | Medical informatics Technological innovations Artificial intelligence Medical applications Data mining |
| topic_facet | Medical informatics Technological innovations Artificial intelligence Medical applications Data mining |
| url | https://doi.org/10.4018/978-1-7998-9132-1 |
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