Introduction to Computational Health Informatics

Arvind Kumar Bansal

ISBN 10: 1498756638 ISBN 13: 9781498756631

Editorial: Taylor and Francis Inc, 2020

Idioma: Ingl�s

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Descripci�n

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Detalles bibliogr�ficos

T�tulo

Introduction to Computational Health Informatics

Editor

Taylor and Francis Inc

Fecha de publicaci�n

2020

Idioma

Ingl�s

ISBN 10

1498756638

ISBN 13

9781498756631

Encuadernaci�n

PAP

Estado

New

Cat�logos de vendedores

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Sinopsis

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis.

Features

Integrates computer science and clinical perspectives

Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis

Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange

Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

Acerca del autor

Arvind Kumar Bansal is a full professor of Computer Science at Kent State University, Kent, Ohio, USA. He received his PhD (1988) from Case Western Reserve University, Cleveland, Ohio, USA. His research publications and undergraduate and graduate teaching are in the fields of artificial intelligence, multimedia systems and languages, bioinformatics, and computational health informatics.

Javed Iqbal Khan is a full professor of Computer Science at Kent State University, Kent, Ohio, USA. He received his PhD (1995) from the University of Hawaii at Manoa, USA. His research publications and undergraduate and graduate teachings are in the fields of artificial intelligence, computer networking protocols, educational networks, medical image processing and communication, perceptual enhancement, and automated knowledge acquisition. He has been a long-term Fulbright area expert.

S. Kaisar Alam received his PhD (1996) in Electrical Engineering from the University of Rochester, New York, USA. His research publications and teaching have been primarily in signal/image processing with applications to medical imaging. He was a Principal Investigator at Riverside Research, the Chief Research Officer at a Singapore tech startup, and a visiting/adjunct faculty at two New Jersey universities. Dr. Alam has been a Fulbright Scholar and he currently runs his own consulting company specializing in medical image analysis and diagnostic and therapeutic applications of ultrasound.

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