Buch, Englisch, 610 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1134 g
Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Buch, Englisch, 610 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 1134 g
Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
ISBN: 978-1-4987-5663-1
Verlag: Chapman and Hall/CRC
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
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
- Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
Weitere Infos & Material
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