Machine learning and artificial intelligence in healthcare systems: tools and techniques
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in He...
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton
CRC Press
2023
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Schriftenreihe: | Artificial intelligence in smart healthcare systems
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Schlagworte: | |
Online-Zugang: | FHN01 https://www.taylorfrancis.com/books/9781003265436 |
Zusammenfassung: | This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering. |
Beschreibung: | 1 Online-Ressource (vi, 350 Seiten) Illustrationen, Diagramme |
ISBN: | 9781003265436 |
Internformat
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Datensatz im Suchindex
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id | DE-604.BV049043678 |
illustrated | Not Illustrated |
index_date | 2024-07-03T22:19:45Z |
indexdate | 2024-07-10T09:53:39Z |
institution | BVB |
isbn | 9781003265436 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034306170 |
oclc_num | 1392155073 |
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owner | DE-92 |
owner_facet | DE-92 |
physical | 1 Online-Ressource (vi, 350 Seiten) Illustrationen, Diagramme |
psigel | ZDB-7-TFC |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | CRC Press |
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series2 | Artificial intelligence in smart healthcare systems |
spelling | Machine learning and artificial intelligence in healthcare systems tools and techniques edited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid Boca Raton CRC Press 2023 London Taylor & Francis Group 1 Online-Ressource (vi, 350 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Artificial intelligence in smart healthcare systems This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering. Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s Gesundheitswesen (DE-588)4020775-4 s DE-604 Shaikh, Tawseef Ayoub edt Hakak, Saqib edt Rasool, Tabasum edt Wasid, Mohammed edt Erscheint auch als 978-1-032-20830-5 Druck-Ausgabe, Hardcover 1032208309 Erscheint auch als 978-1-032-20832-9 Druck-Ausgabe, Paperback 1032208325 https://www.taylorfrancis.com/books/9781003265436 Verlag |
spellingShingle | Machine learning and artificial intelligence in healthcare systems tools and techniques Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4033447-8 (DE-588)4020775-4 |
title | Machine learning and artificial intelligence in healthcare systems tools and techniques |
title_auth | Machine learning and artificial intelligence in healthcare systems tools and techniques |
title_exact_search | Machine learning and artificial intelligence in healthcare systems tools and techniques |
title_exact_search_txtP | Machine learning and artificial intelligence in healthcare systems tools and techniques |
title_full | Machine learning and artificial intelligence in healthcare systems tools and techniques edited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid |
title_fullStr | Machine learning and artificial intelligence in healthcare systems tools and techniques edited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid |
title_full_unstemmed | Machine learning and artificial intelligence in healthcare systems tools and techniques edited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid |
title_short | Machine learning and artificial intelligence in healthcare systems |
title_sort | machine learning and artificial intelligence in healthcare systems tools and techniques |
title_sub | tools and techniques |
topic | Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
topic_facet | Maschinelles Lernen Künstliche Intelligenz Gesundheitswesen |
url | https://www.taylorfrancis.com/books/9781003265436 |
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