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Digitalization in Healthcare : Implementing Innovation and Artificial Intelligence
Glauner, Patrick (ed.); Plugmann, Philipp (ed.);  … - 2021 - 1st ed. 2021.
Artificial Intelligence in Healthcare: Foundations, Opportunities and Challenges -- Artificial Intelligence in Healthcare: Foundations, Opportunities and Challenges -- Opening the Door for Digital Transformation in Hospitals – IT Expert’s Point of View -- Digitalization from the Patients’...
Persistent link: https://www.econbiz.de/10012496258
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The Future Circle of Healthcare : AI, 3D Printing, Longevity, Ethics, and Uncertainty Mitigation
Ehsani, Sepehr (ed.); Glauner, Patrick (ed.);  … - 2022
Chapter 1. Introduction — Trends, Puzzles and Hopes for the Future of Healthcare -- Chapter 2. Innovations in Psychiatric Care Models: Lessons from the Past to Inform the Future -- Chapter 3. Mobile Sensors in Healthcare: Technical, Ethical, and Medical Aspects -- Chapter 4. New Horizons in...
Persistent link: https://www.econbiz.de/10013392536
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AI and Analytics for Public Health : Proceedings of the 2020 INFORMS International Conference on Service Science
Yang, Hui (ed.); Qiu, Robin G. (ed.); Chen, Weiwei (ed.) - INFORMS International Conference on Service Science … - 2022
-- Chapter 11. Modified Risk Parity Portfoliosto Limit Concentration on Low Risk Assets in Multi-Asset Portfolios -- Chapter 12 … Options -- Chapter 15. Molecular Bioactivity Prediction of HDAC1 Based on Deep Neural Nets -- Chapter 16. Risk assessment … indicators for technology enterprises: From the perspective of complex networks -- Chapter 17. Risk assessment indicators for …
Persistent link: https://www.econbiz.de/10012814729
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Healthy at Work : Interdisciplinary Perspectives
Wiencke, Markus (ed.); Cacace, Mirella (ed.);  … - 2016
Organizational Culture and Occupational Health -- The Importance of Leadership for Occupational Health -- Public and Private Policies Promoting Occupational Health -- Evidence-Based Studies and Interventions Promoting Occupational Health.
Persistent link: https://www.econbiz.de/10013275858
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Technical Asset Management for Railway Transport : Using the URRAN Approach
Shubinsky, Igor Borisovich; Zamyshlaev, Alexei Mikhailovitch - 2022
Integrated Risk-Based Management of Reliability, Safety, and Resources -- 4. Basic Concepts and Indicators of Dependability and …
Persistent link: https://www.econbiz.de/10012814735
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Artificial Intelligence in Financial Markets : Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics
Dunis, Christian (ed.); Middleton, Peter W. (ed.);  … - 2016
Making in Economics -- 6. An automated literature analysis on data mining applications to credit risk assessment -- SECTION … III: CREDIT RISK ANALYSIS -- 7. Intelligent credit risk decision support: architecture and implementations -- 8 …. Portfolio selection as a multiperiod choice problem under uncertainty: an interation-based approach -- 10. Handling model risk …
Persistent link: https://www.econbiz.de/10012397259
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Operational Resilience in Finanzinstituten : Grundlagen, Beispiele und Anwendungen
Milkau, Udo - 2022
Grundlagen einer „Risk Science“ für Technologie-bedingten Risiken in Banken -- Beispiele für Digitalisierung …Dieses Buch zeigt zum einen die aktuellen wissenschaftlichen Entwicklungen der „Risk Science“ auf und überträgt sie auf … praktischen Maßnahmen in Banken. Während das bisherige Risikomanagement in Banken stark von den regulatorischen Vorgaben zur …
Persistent link: https://www.econbiz.de/10013349741
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Alternative Data and Artificial Intelligence Techniques : Applications in Investment and Risk Management
Zhang, Qingquan Tony; Li, Beibei; Xie, Danxia - 2022
Chapter 1: The introduction of the portfolio management and risk evaluation -- Chapter 2: The major trends in financial … Alternative data in Finance -- Chapter 5: Alternative Data utilization from country perspective -- Chapter 6: Smart Beta and Risk … Factors based on Textural Data and Machine Learning -- Chapter 7: Smart Beta and Risk Factors based on IoTs and AIoTs Data …
Persistent link: https://www.econbiz.de/10013431280
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Künstliche Intelligenz in Wirtschaft & Gesellschaft : Auswirkungen, Herausforderungen & Handlungsempfehlungen
Buchkremer, Rüdiger (ed.); Heupel, Thomas (ed.);  … - 2020
Dieses Buch beschäftigt sich damit, wie künstliche Intelligenz die Zusammenarbeit von Menschen und Maschinen verändern wird, wie diese Veränderungen gestaltet werden können und welche Auswirkungen auf Wirtschaft und Gesellschaft zu erwarten sind. Die Arbeitswelt 4.0 unterliegt durch...
Persistent link: https://www.econbiz.de/10012403266
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Künstliche Intelligenz im Gesundheitswesen : Entwicklungen, Beispiele und Perspektiven
Pfannstiel, Mario A. (ed.) - 2022
Einführung -- Künstliche Intelligenz im Gesundheitswesen als Kernkompetenz? Status quo, Entwicklungslinien und … Wirtschaft und im Gesundheitswesen in Europa -- Mit KI das Gesundheitswesen verändern -- Erfolgsfaktoren, Potenziale und … Barrieren von KI-Start-ups im Gesundheitswesen -- Künstliche Intelligenz im Entwicklungsprozess von Medikamenten in der …
Persistent link: https://www.econbiz.de/10013163603