Machine learning and generative AI in smart healthcare:
The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies li...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
|
| Schriftenreihe: | Advances in medical technologies and clinical practice (AMTCP) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management. |
| Beschreibung: | 1 Online-Ressource (xxix, 450 Seiten) |
| DOI: | 10.4018/979-8-3693-3719-6 |
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| discipline | Informatik Wirtschaftswissenschaften Medizin |
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| indexdate | 2024-12-17T19:01:34Z |
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| language | English |
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| publishDate | 2024 |
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| series2 | Advances in medical technologies and clinical practice (AMTCP) book series |
| spelling | Machine learning and generative AI in smart healthcare Swarnalatha Purushotham, S. Prabu, editors Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (xxix, 450 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in medical technologies and clinical practice (AMTCP) book series The healthcare landscape is constantly evolving, and one of the most significant concerns that healthcare professionals deal with is understanding how to use biomedical intelligence to improve patient outcomes. With the increasing complexity of healthcare computing systems, including technologies like deep learning and the Internet of Things, it can be challenging to navigate these advancements. Machine Learning and Generative AI in Smart Healthcare is a practical tool for healthcare professionals, researchers, and policymakers who are seeking to implement biomedical intelligence solutions. It provides a clear roadmap for using prescriptive and predictive analytics in machine learning to enhance healthcare outcomes. Going beyond the basics, it delves into healthcare computing and networking complexities. By delving into topics such as data mining, disease prediction, and AI applications, deep learning approaches, decision support systems, and optimization techniques, this book equips readers with the practical knowledge they need to optimize healthcare delivery and management. Artificial intelligence Medical applications Internet of things Medical applications Machine learning Medical applications Medical care Information technology Medical care Technological innovations Prabu, S. 1981- edt Purushotham, Swarnalatha edt Erscheint auch als Druck-Ausgabe 9798369337196 https://doi.org/10.4018/979-8-3693-3719-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Machine learning and generative AI in smart healthcare Artificial intelligence Medical applications Internet of things Medical applications Machine learning Medical applications Medical care Information technology Medical care Technological innovations |
| title | Machine learning and generative AI in smart healthcare |
| title_auth | Machine learning and generative AI in smart healthcare |
| title_exact_search | Machine learning and generative AI in smart healthcare |
| title_full | Machine learning and generative AI in smart healthcare Swarnalatha Purushotham, S. Prabu, editors |
| title_fullStr | Machine learning and generative AI in smart healthcare Swarnalatha Purushotham, S. Prabu, editors |
| title_full_unstemmed | Machine learning and generative AI in smart healthcare Swarnalatha Purushotham, S. Prabu, editors |
| title_short | Machine learning and generative AI in smart healthcare |
| title_sort | machine learning and generative ai in smart healthcare |
| topic | Artificial intelligence Medical applications Internet of things Medical applications Machine learning Medical applications Medical care Information technology Medical care Technological innovations |
| topic_facet | Artificial intelligence Medical applications Internet of things Medical applications Machine learning Medical applications Medical care Information technology Medical care Technological innovations |
| url | https://doi.org/10.4018/979-8-3693-3719-6 |
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