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IEEE Big Data - BAIH 2024 : IEEE Big Data 2024 Workshop on Big Data and AI for Healthcare

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Link: https://bigdata-ai-health.github.io/icbd2024
 
When Dec 15, 2024 - Dec 18, 2024
Where Washington DC (Hybrid)
Submission Deadline Oct 25, 2024
Notification Due Nov 15, 2024
Final Version Due Nov 23, 2024
Categories    data mining   artificial intelligence   healthcare   machine learning
 

Call For Papers

The field of Healthcare has experienced a transformative impact due to advancements in Big Data and Artificial Intelligence. As technologies for data collection, storage, and communication evolve, the need for sophisticated analysis and application of these vast data sets is ever more critical. This workshop aims to harness the synergy from the domains of machine learning, data mining, statistics, artificial intelligence, and healthcare to foster breakthroughs in this interdisciplinary field.

We invite submissions that explore innovative approaches, methodologies, and technologies in, but are not limited to, the following areas:

- Natural Language Processing techniques for Healthcare
- Data Mining techniques for Healthcare
- Natural Language Processing for Electronic Health Records Analysis
- Deep Learning Techniques for Medical Imaging Analysis
- Wearable Devices and IoT in Healthcare Data Collection and Analysis
- Federated Learning and Privacy-Preserving Techniques in Healthcare Data Sharing
- Real-time Monitoring and Alert Systems for Disease Outbreak Detection
- Sentiment Analysis of Patient Feedback and Social Media for Healthcare Improvement
- Explainable AI in Clinical Decision Support Systems
- Big Data Analytics for Health Management
- AI-driven Drug Discovery and Development
- Virtual Assistants and Chatbots for Patient Interaction and Support
- Robotics in Healthcare
- Data-driven Approaches for Healthcare Resource Optimization
- Augmented Reality and Virtual Reality in Healthcare
- Social Aspects of Health Analysis using Big Data and AI Techniques
- Machine Learning techniques for Healthcare
- Statistics techniques for Healthcare

Submission Guidelines
- Full Papers: Maximum of 10 pages, including 1 page for references.
- Short Papers: Maximum of 4 pages, including 1 page for references.
- All submissions must be original work not previously published or currently under review.
- Submission Link: Papers must be submitted electronically via this link: Submission Link, https://wi-lab.com/cyberchair/2024/bigdata24/scripts/submit.php?subarea=S38&undisplay_detail=1&wh=/cyberchair/2024/bigdata24/scripts/ws_submit.php
- Formatting Guidelines: Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines: Formatting Guidelines, https://www.ieee.org/conferences/publishing/templates.html

For any questions, please contact:
PC Chair: Dr. Yong Zhuang (yong.zhuang@gvsu.edu).

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