AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice (Medical Robots and Devices: New Developments and Advances)

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AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice (Medical Robots and Devices: New Developments and Advances)

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 450 p.
  • 言語 ENG
  • 商品コード 9780443365546

Full Description

AI and Data Science in Precision Medicine, Predictive Analytics, and Medical Practice explores the transformative role of AI and data science in enhancing precision medicine, predictive analytics, and medical practice. The book covers diverse topics such as AI-driven personalized medicine, seizure prediction through EEG analysis, and the application of chaos theory in AI-driven healthcare. The volume also delves into medical practice and education, including ethical considerations, AI-driven supply chain management, and clinical documentation using natural language processing.

Furthermore, it examines AI's role in telemedicine, patient engagement, and adherence, offering innovative solutions to improve healthcare delivery and outcomes.

Contents

Introduction to AI and Data Science in Precision Medicine, predictive analytics and medical practice

Part 1. AI for Precision Medicine and predictive analytics
1. AI-driven Personalized Medicine: A Survey
2. AI Revolution in Healthcare: Enhancing Patient Care and Outcomes through Innovative Applications and Future Prospects
3. AI-Powered Seizure Prediction: Advancing Brain Health with EEG Analysis
4. Chaos Theory in AI-Driven Healthcare Systems: Unraveling Complex Data Patterns
5. A Novel Network-Based Methodology to Investigate Obstructive Sleep Apnea
6. Enhancing Peritoneal Dialysis Care in Tunisia: Leveraging Predictive Analytics and AI Enhancing Peritoneal Dialysis Care in Tunisia: Leveraging Predictive Analytics and AI
7. Deep Learning-Based Stroke Risk Prediction System Using Real-Time Digital Biomarker Data
8. Identification of Mental Health Crisis During COVID-19 Using Machine Learning Techniques
9. AI in Psychological Assessment: A Combined Approach of Feature Selection and Machine Learning Techniques for the Real-Time Detection of Interpersonal Trust Issues

Part 2. Medical Practice and Education topics
10. Precision medicine, omics, and treatable traits as a paradigm shift towards promising medical curriculum: A narrative review
11. Ethical Considerations in the Implementation of AI and Data Science within Healthcare Applications: A Systematic Review
12. AI-Driven Blood Supply Chain Management: A Reinforcement Learning Approach
13. Clinical Documentation and Electronic Health Records (EHR) using Natural language processing (NLP) and Optical character recognition

Part 3. Telemedicine, Patient Engagement and Adherence for healthcare monitoring
14. Patient Engagement and Adherence: Developing AI-driven solutions to improve patient engagement, medication adherence, and lifestyle modifications
15. Enhancing Telemedicine and Remote Patient Monitoring with AI and Data Science
16. Intelligent Prospective Study for Elderly Healthcare Assistance in Smart Homes with WSN
17. Conclusion and perspectives in Precision Medicine and predictive analytics