Call For Papers
The ICBDAHLS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Big data applications in healthcare
- Data analytics for patient outcomes
- Predictive modeling in life sciences
- Healthcare data privacy and ethics
- Machine learning in medical diagnostics
- Data-driven approaches to public health
- Big data in genomics research
- Real-time analytics in healthcare systems
- Data integration in healthcare analytics
- AI for personalized medicine applications
- Healthcare data visualization techniques
- EHR data analytics and insights
- Big data challenges in healthcare
- Telemedicine and data analytics
- Patient data security and compliance
- Healthcare operational efficiency analytics
- Big data for disease outbreak prediction
- AI in clinical decision support systems
- Data mining for drug discovery
- Interdisciplinary research in health analytics
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.