Advanced prognostic predictive modelling in healthcare data analytics / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors.
2021
R859.7.A78
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Details
Title
Advanced prognostic predictive modelling in healthcare data analytics / Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal, editors.
ISBN
9789811605383 (electronic bk.)
9811605386 (electronic bk.)
9789811605376 (print)
9811605378
9811605386 (electronic bk.)
9789811605376 (print)
9811605378
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource (xiv, 311 pages) : illustrations (some color).
Item Number
10.1007/978-981-16-0538-3 doi
Call Number
R859.7.A78
Dewey Decimal Classification
610.285/63
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.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 29, 2021).
Series
Lecture notes on data engineering and communications technologies ; v. 64.
Available in Other Form
Print version: 9789811605376
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Table of Contents
Data visualization in the transformation of healthcare industries
Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction
Disease Prediction Using Data Mining and Machine Learning Techniques
Prognostic modeling with the internet of Healthcare things applications
Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach
Early Screening of COVID-19 from Chest CT using Deep Learning Technique
Clinical Decision-Making and Predicting Patient Trajectories.
Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction
Disease Prediction Using Data Mining and Machine Learning Techniques
Prognostic modeling with the internet of Healthcare things applications
Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach
Early Screening of COVID-19 from Chest CT using Deep Learning Technique
Clinical Decision-Making and Predicting Patient Trajectories.