Smart Healthcare and Machine Learning
The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and in...
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| Beste egile batzuk: | , , |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Edizioa: | 1st ed. 2024. |
| Saila: | Advanced Technologies and Societal Change,
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-981-97-3312-5 |
| Etiketak: |
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| Gaia: | The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. |
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| Deskribapen fisikoa: | XIII, 337 p. 128 illus., 115 illus. in color. online resource. |
| ISBN: | 9789819733125 |
| ISSN: | 2191-6861 |
| DOI: | 10.1007/978-981-97-3312-5 |