Advanced prognostic predictive modelling in healthcare data analytics /
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Imprint: | Singapore : Springer, [2021] |
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Description: | 1 online resource (xiv, 311 pages) : illustrations (some color). |
Language: | English |
Series: | Lecture notes on data engineering and communications technologies, 2367-4512 ; volume 64 Lecture notes on data engineering and communications technologies ; v. 64 |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12612529 |
Other authors / contributors: | Roy, Sudipta, editor. Goyal, Lalit Mohan, editor. Mittal, Mamta, Ph. D., editor. |
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ISBN: | 9789811605383 9811605386 9789811605376 9811605378 |
Notes: | Online resource; title from PDF title page (SpringerLink, viewed April 29, 2021). |
Summary: | This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis. |
Other form: | Original 9811605378 9789811605376 |
Standard no.: | 10.1007/978-981-16-0538-3 |
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