Habit-Based Behaviour Change Medical Information Support System and Artificial Intelligence
Academic Press Inc (Verlag)
978-0-443-13759-4 (ISBN)
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Pantea Keikhosrokiani is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM; Penang, Malaysia). She was a teaching fellow at the National Advanced IPv6 Centre of Excellence (Nav6), USM. She has received her PhD in Service System Engineering, Information System, and her master’s degree in information technology from the School of Computer Sciences, USM. She has been graduated in Bachelor of Science in Electrical Engineering Electronics. Her articles have been published in distinguished edited books and journals including Elsevier (Telematics & Informatics), Springer (Cognition, Technology, & Work), Taylors and Francis and IGI global, and have been indexed by ISI, Scopus and PubMed. Her recent book is published by Elsevier entitled Perspectives in The Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application. Her areas of interest for research and teaching are Information Systems Development, Behavior-change support systems, Database Systems, Health and Medical Informatics, Business Informatics, Location-Based Mobile Applications, Big Data, and Technopreneurship.
Section 1: Introduction to Habit-based Behavior Change Support Systems (HBCSS)
1. Theories for Habit-based Behavior Change Support Systems (HBCSS)
2. Methodologies for Habit-based Behavior Change Support Systems (HBCSS)
3. Management of Habit-based Behavior Change Support Systems (HBCSS)
4. Features of Habit-based Behavior Change Support Systems (HBCSS)
Section 2: Habit-change Life Cycles for Developing HBCSS
5. Requirements for HBCSS
6. Bad Habit Identification
7. Breaking Bad Habits
8. New Habit Formation
9. Measuring Habit-Change
10. Evaluating Habit-Change
11. Development of HBCSS
12. Securing HBCSS
Section 3: Measuring Habit-Change in Habit-based Behavior Change Support Systems (HBCSS) using Data Analytics
13. Descriptive Analytics for Habit-Change
14. Classification for Habit-Change
15. Clustering for Habit-Change
16. Prediction for Habit-Change
17. Prescription Analytics for HBCSS
18. Databases for HBCSS
19. Conclusion and Future Direction
20. Case Studies
| Erscheint lt. Verlag | 1.9.2026 |
|---|---|
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| ISBN-10 | 0-443-13759-5 / 0443137595 |
| ISBN-13 | 978-0-443-13759-4 / 9780443137594 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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