Hybrid Conferencee

International Conference on AI and Machine Learning for Big Data Analytics (ICAML - 26)

23rd - 24th July 2026 | Chicago, USA
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Chicago. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Chicago event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Chicago conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chicago, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Chicago."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAML 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 Artificial Intelligence,Data Science,Machine Learning, 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:

01
Big data analytics in healthcare
02
Machine learning applications in medicine
03
Predictive modeling for patient outcomes
04
Data privacy and security in healthcare
05
AI-driven decision support systems
06
Natural language processing in healthcare
07
Real-time data analytics in hospitals
08
Challenges in big data integration
09
Ethics of AI in healthcare
10
Machine learning for disease prediction
11
Data visualization techniques in healthcare
12
Impact of AI on healthcare delivery
13
Interoperability of healthcare data systems
14
Patient data management and analytics
15
AI in personalized medicine approaches
16
Healthcare analytics for population health
17
Machine learning in clinical research
18
Data-driven strategies for health improvement
19
AI applications in medical imaging
20
Future trends in big data analytics