Advanced Prognostic Predictive Modelling in Healthcare Data Analytics
Series: Lecture Notes on Data Engineering and Communications Technologies; 64;
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer
- Date of Publication 23 April 2021
- Number of Volumes 1 pieces, Book
- ISBN 9789811605376
- Binding Hardback
- No. of pages311 pages
- Size 235x155 mm
- Weight 658 g
- Language English
- Illustrations 31 Illustrations, black & white; 106 Illustrations, color 215
Categories
Short description:
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.
MoreLong description:
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.
?The book offers a collection of literature review, and discussions of the methods in computer sciences, artificial intelligence, machine learning and may offer materials for graduate students in biomedical engineering and healthcare communications. I certainly will recommend this book for individuals in data and predictive modelling especially when they are quantitatively inclined as the prognostic modelling techniques rely on mathematical and or statistical formulations.? (Reuben Adatorwovor, ISCB News, iscb.info, June, 2022) More
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.
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