Introduction to Computational Health Informatics

This class-tested textbook is designed for a semester-long graduate, or senior undergraduate course on Computational Health Informatics. Integrating a computer science perspective with a clinical perspective, the book is designed to prepare computer science students for careers in computational health informatics and medical data analysis.

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.

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