On-location / Digital Conference

[email protected]
+91 9344535349

International Conference on AI-driven Predictive Analytics and Data Mining (ICAPD-26)

20th - 21st Oct 2026,Edinburgh, UK

Present Your Research Participate as Listener
Registration Options → Access all conference participation categories along with applicable registration options and benefits.

In Association With:

Call for Paper

  1. Home
  2. Call for Paper


Important Dates


Early Bird Registration

20th Sep 2026

Paper Submission Deadline

25th September 2026

Registration Deadline

5th October 2026

Conference Date

20th - 21st Oct 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Edinburgh ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Edinburgh conference.
  • Peer Review Process:
    The peer review process will begin soon for Edinburgh conference.
  • Networking with Global Experts:
    Join global experts at our conference in Edinburgh.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICAPD bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on AI-driven Predictive Analytics and Data Mining, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Predictive analytics in healthcare settings
  • Data mining techniques for health data
  • AI applications in patient risk assessment
  • Machine learning for clinical decision support
  • Ethics of predictive analytics in medicine
  • Real-time data analysis for patient care
  • AI-driven insights for population health
  • Data integration challenges in predictive modeling
  • Impact of AI on healthcare outcomes
  • Predictive modeling for chronic disease management
  • Natural language processing in predictive analytics
  • Collaborative approaches to data mining
  • Future trends in predictive analytics
  • Machine learning for health disparities research
  • AI applications in emergency medicine
  • Data privacy considerations in predictive analytics
  • AI-enhanced patient engagement strategies
  • Machine learning for healthcare quality improvement
  • Predictive analytics in mental health care
  • Interdisciplinary approaches to data science

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
all conference alert
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Academic Institutions Whose Scholars Have Contributed

Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01
Image 01

Copyright © . All Rights Reserved Terms and Conditions