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IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications

Edited by Sanjay Kumar Singh, Edited by Ravi Shankar Singh, Edited by Anil Kumar Pandey, Edited by Sandeep S Udmale, Edited by Ankit Chaudhary

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normal price: R 3 808.95

Price: R 3 428.95


| book description |

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. 

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Normally shipped | This title will be printed on demand for your order. Delivery will be 6 weeks or less.
Publisher | Elsevier Science Publishing Co Inc
Published date | 11 Nov 2020
Language |
Format | Paperback / softback
Pages | 340
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 680g
ISBN | 978-0-1282-1472-5
Readership Age |
BISAC | technology / engineering / general


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 5 441.95
Price | R 4 897.95 | on special |



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