Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Predictive analytics in healthcare applications
- Decision support systems for smart cities
- Machine learning techniques for decision making
- Data-driven approaches for predictive modeling
- Real-time analytics for business intelligence
- Risk assessment using predictive analytics
- User-centered design in decision support systems
- Ethical implications of predictive analytics
- Big data challenges in decision support
- Integrating AI into decision-making frameworks
- Case studies in predictive analytics success
- Visualization techniques for predictive insights
- Impact of data quality on predictions
- Collaborative decision-making systems
- Predictive analytics in supply chain management
- Machine learning for risk mitigation strategies
- Evaluating the effectiveness of decision support
- Trends in predictive analytics research
- Future directions in decision support systems
- Interdisciplinary approaches to predictive analytics
All papers must be original and not previously published or submitted elsewhere.
