Dimensions of Intelligent Analytics for Smart Digital Health Solutions
portes grátis
Dimensions of Intelligent Analytics for Smart Digital Health Solutions
Bodendorf, Freimut; Kraus, Mathias; Wickramasinghe, Nilmini
Taylor & Francis Ltd
03/2024
422
Dura
Inglês
9781032699738
15 a 20 dias
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Section I: Technical Considerations. 1. Medical Image Processing. 2. Smart Wearables in Healthcare. 3. Causal AI in Personalised Healthcare. 4. Interpretable AI in Healthcare. Section II: Management Perspectives. 5. Data Ownership and Emerging Data Governance Models in Healthcare. 6. Privacy-Preserving Roadmap for Medical Data-Sharing Systems. 7. A Comparative Review of Descriptive Process Models in Healthcare Operations Management and Analytics. 8. AI Approaches for Managing Preventive Care in Digital Health Ecosystems. 9. Competitive Intelligence in Healthcare. Section III: Clinical Applications. 10. Machine Learning for Healthcare Applications: Possibilities and Barriers. 11. A Systematic Review of Prediction Models for Chronic Opioid Use Following Surgery. 12. Addressing Challenges in the Emergency Department with Analytics and AI. 13. Using Simulators to Assist with Mental Health Issues: The Impact of a Sailing Simulator on People with ADHD. 14. A Possible Blockchain Architecture for Healthcare: Insights from Catena-X. Section IV: Human Factors. 15. Implications and Considerations of AI for the Healthcare Workforce: A Theoretical Perspective. 16. Unplanned Readmission Risks for Comorbid Patients of Diabetes: An Action Design Research Paradigm Data-Driven Decision Support. 17. Establishing a Digital Twin Architecture for Superior Falls Risk Prediction Using a Bayesian Network Model. 18. Facilitating a Shared Meaning of AI/ML Findings amongst Key Healthcare Stakeholders: The Role of Analytic Translators.
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medical data governance;interpretable machine learning;smart wearables technology;privacy-preserving analytics;digital twin modelling;Bayesian network healthcare;clinical decision support systems
Section I: Technical Considerations. 1. Medical Image Processing. 2. Smart Wearables in Healthcare. 3. Causal AI in Personalised Healthcare. 4. Interpretable AI in Healthcare. Section II: Management Perspectives. 5. Data Ownership and Emerging Data Governance Models in Healthcare. 6. Privacy-Preserving Roadmap for Medical Data-Sharing Systems. 7. A Comparative Review of Descriptive Process Models in Healthcare Operations Management and Analytics. 8. AI Approaches for Managing Preventive Care in Digital Health Ecosystems. 9. Competitive Intelligence in Healthcare. Section III: Clinical Applications. 10. Machine Learning for Healthcare Applications: Possibilities and Barriers. 11. A Systematic Review of Prediction Models for Chronic Opioid Use Following Surgery. 12. Addressing Challenges in the Emergency Department with Analytics and AI. 13. Using Simulators to Assist with Mental Health Issues: The Impact of a Sailing Simulator on People with ADHD. 14. A Possible Blockchain Architecture for Healthcare: Insights from Catena-X. Section IV: Human Factors. 15. Implications and Considerations of AI for the Healthcare Workforce: A Theoretical Perspective. 16. Unplanned Readmission Risks for Comorbid Patients of Diabetes: An Action Design Research Paradigm Data-Driven Decision Support. 17. Establishing a Digital Twin Architecture for Superior Falls Risk Prediction Using a Bayesian Network Model. 18. Facilitating a Shared Meaning of AI/ML Findings amongst Key Healthcare Stakeholders: The Role of Analytic Translators.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
