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Record Nr. |
UNINA9910484307403321 |
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Titolo |
Big Data Analytics in Healthcare [[electronic resource] /] / edited by Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XI, 187 p. 55 illus., 37 illus. in color.) |
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Collana |
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Studies in Big Data, , 2197-6503 ; ; 66 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Big data |
Health care management |
Health services administration |
Computational Intelligence |
Artificial Intelligence |
Big Data |
Health Care Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets. |
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Sommario/riassunto |
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This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. |
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It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms. |
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