System Design for Epidemics Using Machine Learning and Deep Learning
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic cri...
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| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edición: | 1st ed. 2023. |
| Colección: | Signals and Communication Technology,
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-031-19752-9 |
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| Sumario: | This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time. |
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| Descripción Física: | 1 online resource (XXII, 325 p. 164 illus.). 130 illus. in color. |
| ISBN: | 9783031197529 |
| ISSN: | 1860-4870 |
| DOI: | 10.1007/978-3-031-19752-9 |