Computational intelligence and applications for pandemics and healthcare:
"The primary goal of this book is to introduce the most recent technologies and methods for improving the health-care system to take it to the next level, discussing the tactics and methods, as well as their limitations and performances to grasp the great biomedical potential of AI and inspire...
Gespeichert in:
| Weitere beteiligte Personen: | , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2022
|
| Schlagwörter: | |
| Links: | https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 https://doi.org/10.4018/978-1-7998-9831-3 |
| Zusammenfassung: | "The primary goal of this book is to introduce the most recent technologies and methods for improving the health-care system to take it to the next level, discussing the tactics and methods, as well as their limitations and performances to grasp the great biomedical potential of AI and inspire researchers in relevant areas |
| Beschreibung: | Includes bibliographical references and index Section 1. From artificial intelligence to good healthcare: theory, framework, and methods. Chapter 1. An investigation of the Coronavirus disease (COVID-19) mortality risk using machine learning ; Chapter 2. COVID-19 chest x-rays classification using deep learning ; Chapter 3. Healthcare management intricacy, governance, and strategic plan during the COVID-19 pandemic (with special reference to India) ; Chapter 4. A smartphone-based dermatological disease identification system using probabilistic neural networks ; Chapter 5. Machine learning -- Section 2. From artificial intelligence to good healthcare: review, methods, and healthcare. Chapter 6. Integration of ML and IoT for healthcare systems ; Chapter 7. Heavy metals in ground water affect the human health global challenge ; Chapter 8. Study of behavioral changes and heart rate variability through speech signal analysis in COVID-19 patients ; Chapter 9. A survey on behavioral change during the COVID-19 outbreak in India -- Section 3. From artificial intelligence to healthcare: comparison, IoT, and cloud. Chapter 10. Smart healthcare and intelligent medical systems ; Chapter 11. A real-time cloud-based healthcare monitoring system ; Chapter 12. Analysis and comparison of psychological constraints among various countries during COVID-19 ; Chapter 13. Discriminating significant morphological attributes of photoplethysmograph signal for cuffless blood pressure measurement ; Chapter 14. Survey of recent studies on healthcare technologies and computational intelligence approaches and their applications. - Mode of access: World Wide Web |
| Umfang: | 1 Online-Ressource (357 Seiten) |
| ISBN: | 9781799898337 |
| DOI: | 10.4018/978-1-7998-9831-3 |
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| 245 | 1 | 0 | |a Computational intelligence and applications for pandemics and healthcare |c Sapna Singh Kshatri, Kavita Thakur, Maleika Heenaye Mamode Khan, Deepak Singh, and G.R. Sinha, editors |
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Datensatz im Suchindex
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| dewey-ones | 610 - Medicine and health |
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| id | DE-604.BV048240244 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:39:20Z |
| institution | BVB |
| isbn | 9781799898337 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033620751 |
| oclc_num | 1322800323 |
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| physical | 1 Online-Ressource (357 Seiten) |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | IGI Global |
| record_format | marc |
| spellingShingle | Computational intelligence and applications for pandemics and healthcare Medical informatics Computational intelligence Industrial applications Epidemics |
| title | Computational intelligence and applications for pandemics and healthcare |
| title_auth | Computational intelligence and applications for pandemics and healthcare |
| title_exact_search | Computational intelligence and applications for pandemics and healthcare |
| title_full | Computational intelligence and applications for pandemics and healthcare Sapna Singh Kshatri, Kavita Thakur, Maleika Heenaye Mamode Khan, Deepak Singh, and G.R. Sinha, editors |
| title_fullStr | Computational intelligence and applications for pandemics and healthcare Sapna Singh Kshatri, Kavita Thakur, Maleika Heenaye Mamode Khan, Deepak Singh, and G.R. Sinha, editors |
| title_full_unstemmed | Computational intelligence and applications for pandemics and healthcare Sapna Singh Kshatri, Kavita Thakur, Maleika Heenaye Mamode Khan, Deepak Singh, and G.R. Sinha, editors |
| title_short | Computational intelligence and applications for pandemics and healthcare |
| title_sort | computational intelligence and applications for pandemics and healthcare |
| topic | Medical informatics Computational intelligence Industrial applications Epidemics |
| topic_facet | Medical informatics Computational intelligence Industrial applications Epidemics |
| url | https://doi.org/10.4018/978-1-7998-9831-3 |
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