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Hybrid Event

5th - 6th August 2026 | kano, Nigeria

International Conference on Data Science Applications in Healthcare (ICDSAH - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDSAH) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Data mining techniques in healthcare applications
02
Predictive modeling for patient outcomes
03
Machine learning for medical image analysis
04
Natural language processing in clinical data
05
Data visualization for healthcare insights
06
Wearable technology and data analytics
07
Electronic health records and data science
08
Telemedicine data analysis methodologies
09
Big data challenges in healthcare
10
AI-driven diagnostics and treatment recommendations
11
Patient privacy and data security issues
12
Integrating genomics data with clinical data
13
Real-time analytics for emergency care
14
Health informatics and data interoperability
15
Data-driven public health decision making
16
Ethical considerations in healthcare data science
17
Healthcare cost prediction models
18
Chronic disease management through data analytics
19
Data science for personalized medicine
20
Impact of social determinants on health outcomes

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.