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books
| book details |
Internet of Things and Machine Learning for Type I and Type II Diabetes: Use cases
Edited by Sujata Dash, Edited by Subhendu Kumar Pani, Edited by Willy Susilo, Edited by Cheung Man Yung Bernard, Edited by Gary Tse
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| on special |
normal price: R 6 214.95
Price: R 5 903.95
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| book description |
Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics.
| product details |
Normally shipped |
Publisher | Elsevier - Health Sciences Division
Published date | 9 Jul 2024
Language |
Format | Paperback / softback
Pages | 448
Dimensions | 276 x 216 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-3239-5686-4
Readership Age |
BISAC | medical / neurology
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Katie Daysh
Paperback / softback
384 pages
was: R 295.95
now: R 259.95
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This is indeed a story of mercy and the redemption it offers.
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Victor Frankenstein driven by the mad dream of creating his own creature, experiments with alchemy and science to build a monster stitched together from dead remains.
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