Librería Portfolio

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.



Table of Contents
Preface

Chapter Outlines

Classroom Use of this Textbook

Acknowledgments

About the Authors

1 Introduction

2 Fundamentals

3 Intelligent Data Analysis Techniques

4 Healthcare Data Organization

5 Medical Imaging Informatics

6 DICOM - Medical Image Communication

7 Bioelectric and Biomagnetic Signal Analysis

8 Clinical Data Analytics

9 Pervasive Health and Remote Care

10 Disease Prediction and Drug Development

11 End-User's Emotion and Satisfaction

Contributed by Leon Sterling

12 Conclusion

Appendix I: Websites for Healthcare Standards

Appendix II: Healthcare-Related Conferences and Journals

Appendix III: Health Informatics Related Organizations

Appendix IV: Health Informatics Database Resources

Appendix V: Selected Companies in Healthcare Industry

Index