Introduction to Computational Health Informatics

AvArvind Kumar Bansal,Javed Iqbal Khan

Inbunden, Engelska, 2020

Del i serien Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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Häftad

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Beskrivning

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

Produktinformation

Utgivningsdatum:2020-01-14
Mått:178 x 254 x 37 mm
Vikt:2 710 g
Format:Inbunden
Språk:Engelska
Serie:Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Antal sidor:576
Förlag:Taylor & Francis Ltd
ISBN:9780367434786

Utforska kategorier

Medicin: allmänt inom Medicin
Medicinska studiehandledningar och referensmaterial inom Medicin
Databaser inom Data och IT

Mer om författaren

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.

Innehållsförteckning

PrefaceChapter OutlinesClassroom Use of this TextbookAcknowledgmentsAbout the Authors1 Introduction 2 Fundamentals 3 Intelligent Data Analysis Techniques4 Healthcare Data Organization5 Medical Imaging Informatics6 DICOM – Medical Image Communication7 Bioelectric and Biomagnetic Signal Analysis8 Clinical Data Analytics9 Pervasive Health and Remote Care10 Disease Prediction and Drug Development11 End-User’s Emotion and SatisfactionContributed by Leon Sterling12 ConclusionAppendix I: Websites for Healthcare StandardsAppendix II: Healthcare-Related Conferences and JournalsAppendix III: Health Informatics Related OrganizationsAppendix IV: Health Informatics Database ResourcesAppendix V: Selected Companies in Healthcare IndustryIndex