Medical Informatics: Knowledge Management and Data Mining in Biomedicine / Edition 1

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Overview

Comprehensively presents the foundations and leading application research in medical informatics/biomedicine.

The concepts and techniques are illustrated with detailed case studies.

Authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University.

Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies

The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

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Editorial Reviews

Doody's Review Service
Reviewer: David M. Liebovitz, MD (Northwestern Memorial Hospital)
Description: This book provides informatics students with a foundation in the primary concepts used in knowledge management. Use of these concepts is then illustrated through case examples.
Purpose: The purpose is to complement introductory medical informatics textbooks and focus on biomedical knowledge management for professionals and researchers. This book is needed clarify the concepts and practices used behind the scenes to bring useful knowledge to researchers and caregivers. This book met the authors' objectives.
Audience: According to the authors, this book is directed to a large potential audience. It could serve as a graduate level textbook in informatics; health computing courses in medical, nursing and pharmacy schools would benefit; library science departments would find the book useful for courses; and it would likely provide reference value for researchers and biomedical professionals. These groups truly represent the likely users. The authors are credible authorities.
Features: "The book includes foundation material in knowledge management and data mining. Subjects such as ontologies, vocabularies, and biomedical knowledge mapping are included with examples. Various techniques in data mining are explored. Examples from clinical medicine and literature searching to biomedical research are included. Web sites for additional material integrated into chapters are useful. An index of all web sites referenced in the book would have been helpful. Some of the reported work is supported by grants and references are included. The chapters adhere to a consistent organizational framework that includes an overview and questions for discussion. Several figures use black text on a gray background, making it difficult to read. "
Assessment: The book is useful beyond the level of an introductory informatics text. Importantly, definitions of key bioinformatics concepts with detailed examples will be useful to readers from diverse backgrounds.

4 Stars! from Doody
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Product Details

  • ISBN-13: 9780387243818
  • Publisher: Springer US
  • Publication date: 6/21/2005
  • Series: Integrated Series in Information Systems , #8
  • Edition description: 2005
  • Edition number: 1
  • Pages: 648
  • Product dimensions: 6.14 (w) x 9.21 (h) x 1.44 (d)

Table of Contents

Ch. 1 Knowledge management, data mining, and text mining in medical informatics 3
Ch. 2 Mapping medical informatics research 35
Ch. 3 Bioinformatics challenges and opportunities 63
Ch. 4 Managing information security and privacy in health care data mining : state of the art 95
Ch. 5 Ethical and social challenges of electronic health information 139
Ch. 6 Medical concept representation 163
Ch. 7 Characterizing biomedical concept relationships : concept relationships as a pathway for knowledge creation and discovery 183
Ch. 8 Biomedical ontologies 211
Ch. 9 Information retrieval and digital libraries 237
Ch. 10 Modeling text retrieval in biomedicine 277
Ch. 11 Public access to anatomic images 299
Ch. 12 3D medical informatics : information science in multiple dimensions 333
Ch. 13 Infectious disease informatics and outbreak detection 359
Ch. 14 Semantic interpretation for the biomedical research literature 399
Ch. 15 Semantic text parsing for patient records 423
Ch. 16 Identification of biological relationships from text documents 449
Ch. 17 Creating, modeling and visualizing metabolic networks : FCModeler and PathBinder for network modeling and creation 491
Ch. 18 Gene pathway text mining and visualization 519
Ch. 19 The genomic data mine 547
Ch. 20 Exploratory genomic data analysis 573
Ch. 21 Joint learning using multiple types of data and knowledge 593
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