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Advanced prognostic predictive model...

Roy, Sudipta.

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Advanced prognostic predictive modelling in healthcare data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced prognostic predictive modelling in healthcare data analytics/ edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal.
其他作者:	Roy, Sudipta.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xiv, 311 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-981-16-0538-3
ISBN:	9789811605383

Advanced prognostic predictive modelling in healthcare data analytics
Advanced prognostic predictive modelling in healthcare data analytics[electronic resource] /edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal. - Singapore :Springer Singapore :2021. - xiv, 311 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v.642367-4512 ;. - Lecture notes on data engineering and communications technologies ;v.64..

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.

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.

ISBN: 9789811605383

Standard No.: 10.1007/978-981-16-0538-3doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / A383 2021

Dewey Class. No.: 610.28563

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520 $a 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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