IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, inclu...
Gespeichert in:
| Weitere beteiligte Personen: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
London San Diego, CA
Academic Press
[2021]
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| Schriftenreihe: | Intelligent data centric systems
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128214763/?ar |
| Zusammenfassung: | IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. |
| Beschreibung: | Online resource; title from digital title page (viewed on February 27, 2021) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 0128214767 9780128214763 |
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| discipline | Medizin |
| format | Electronic eBook |
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| series2 | Intelligent data centric systems |
| spelling | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary London San Diego, CA Academic Press [2021] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Online resource; title from digital title page (viewed on February 27, 2021) IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing Singh, S. K. HerausgeberIn edt Singh, Ravi Shankar HerausgeberIn edt Pandey, Anil Kumar HerausgeberIn edt Udmale, Sandeep S HerausgeberIn edt Chaudhary, Ankit HerausgeberIn edt 9780128214725 Erscheint auch als Druck-Ausgabe 9780128214725 |
| spellingShingle | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
| title | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_auth | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_exact_search | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications |
| title_full | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_fullStr | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_full_unstemmed | IoT-Based Data Analytics for the Healthcare Industry Techniques and Applications edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary |
| title_short | IoT-Based Data Analytics for the Healthcare Industry |
| title_sort | iot based data analytics for the healthcare industry techniques and applications |
| title_sub | Techniques and Applications |
| topic | Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
| topic_facet | Medical statistics Data processing Internet of things Internet des objets Medical statistics ; Data processing |
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