Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. The book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. It advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety.
Users will find this to be a comprehensive resource that benefits researchers and practitioners who seek to understand the convergence of medical technology, interconnected devices, and digital forensics.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. 1. Internet of Things and precision medicine: tailoring treatments to individual patients - p. 1 8. 2. Wearable technology in health care: a privacy-centric perspective - p. 29 9. Chapter 3. Assessing the role of wearable devices and Internet of Things in enhancing remote patient monitoring - p. 45 10. 4. Smart drug delivery through Internet of Things: current progress and future challenges - p. 57 11. 5. Implementing Internet of Things solutions in rural health care education - p. 71 12. 6. Security measures in Internet of Things healthcare devices - p. 97 13. 7. Challenges and solutions in implementing Internet of Things in rural health care - p. 119 14. 8. Authentic secure system in health care - p. 137 15. 9. The role of artificial intelligence in forensic analysis of health care data - p. 145 16. 10. AI-driven forensic analysis in health care: principles, applications, and ethical considerations - p. 167 17. 11. Internet of Things enable wearable sensors for human energy prediction healthcare model - p. 181 18. 12. Deep learning-based smart wearable sensors healthcare model for fitness trackers - p. 199 19. Index - p. 215
Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. The book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. It advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety.
Users will find this to be a comprehensive resource that benefits researchers and practitioners who seek to understand the convergence of medical technology, interconnected devices, and digital forensics.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xi 7. 1. Internet of Things and precision medicine: tailoring treatments to individual patients - p. 1 8. 2. Wearable technology in health care: a privacy-centric perspective - p. 29 9. Chapter 3. Assessing the role of wearable devices and Internet of Things in enhancing remote patient monitoring - p. 45 10. 4. Smart drug delivery through Internet of Things: current progress and future challenges - p. 57 11. 5. Implementing Internet of Things solutions in rural health care education - p. 71 12. 6. Security measures in Internet of Things healthcare devices - p. 97 13. 7. Challenges and solutions in implementing Internet of Things in rural health care - p. 119 14. 8. Authentic secure system in health care - p. 137 15. 9. The role of artificial intelligence in forensic analysis of health care data - p. 145 16. 10. AI-driven forensic analysis in health care: principles, applications, and ethical considerations - p. 167 17. 11. Internet of Things enable wearable sensors for human energy prediction healthcare model - p. 181 18. 12. Deep learning-based smart wearable sensors healthcare model for fitness trackers - p. 199 19. Index - p. 215
