Hybrid Conferencee

International Conference on Machine Learning and Data Analytics (ICMLDA - 26)

20th - 21st October 2026 | Calgary, Canada

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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 Calgary. 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 Calgary 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 Calgary conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Calgary, 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 Calgary."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLDA 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
Machine learning applications in healthcare
02
Data analytics for clinical decision making
03
Predictive modeling for patient outcomes
04
AI in health informatics and data management
05
Ethical considerations in data analytics
06
Natural language processing for health data
07
Real-time analytics in patient monitoring
08
Machine learning for chronic disease prediction
09
Data visualization techniques in healthcare
10
AI-driven insights for population health
11
Impact of big data on healthcare delivery
12
Collaborative tools for data scientists
13
Machine learning for personalized treatment plans
14
Data privacy and security in healthcare
15
Future trends in machine learning and analytics
16
AI applications in telemedicine
17
Healthcare applications of deep learning
18
Data integration challenges in healthcare systems
19
Machine learning for health equity research
20
Interdisciplinary approaches to data science