Advanced Prognostic Predictive Modelling in Healthcare Data Analytics
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Beschreibung
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.
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.
Discusses major technical advancements and research findings in the field of prognostic modeling Uses prognostic modeling as predictive models to solve complex problems of data mining and analysis Serves as a reference resource for researchers and practitioners in academia and industry
Autor*in
Sudipta Roy
Themen in »Advanced Prognostic Predictive Modelling in Healthcare Data Analytics«
Prognostic Modelling Healthcare Image and Data Analysis Deep Neural Network Supervised Learning Classification Segmentation Predictive Modelling
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“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)
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