DMBIH Workshop 2025
The 13th Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH’25)
Washington DC, USA, November 12-15, 2025, in conjunction with the IEEE ICDM 2025
The 13th Workshop on Data Mining in Biomedical Informatics and Healthcare aims to provide a forum for data miners, informaticists, data scientists, AI experts and clinical researchers to share their latest discoveries in applying data mining, combined with AI techniques, to biomedical and healthcare data. The increasing availability of large and complex data sets to the research community triggers the need to develop more advanced and sophisticated models to exploit and manage these big data. The broader context of the workshop encompasses artificial intelligence, information retrieval, machine learning, deep learning and knowledge extraction methods using biomedical image and signal analysis and natural language processing. Submissions are invited to address the need for developing new methods to mine, summarize and integrate the huge volume and diverse modalities of the structured and unstructured biomedical and healthcare data that can potentially lead to significant advances in the field.
Sponsors:
- School of Engineering and Computer Science, Oakland University
- The list to be updated soon!
Topics of interest include but are not limited to:
- Classifying and clustering big data in electronic health records (EHRs)
- Classifying and clustering temporal data in EHRs and biomedical data in high dimensional spaces
- Application of machine learning and deep learning methods to clinical data
- Topic modeling / detection in large amounts of clinical textual data
- Data preprocessing and cleansing to deal with noise and missing data in large biomedical or population health data sets
- Algorithms to speed up the analysis of big biomedical data
- Novel visualization techniques to facilitate the query and analysis of clinical data
- Statistics and probability in large-scale data mining
- Evidence-based medicine
- Medical image data mining
- HIPAA compliance data mining
- Pharmacogenomics data mining
- Biological markers detection
- Biological and clinical data analysis and integration for translational research
LAST YEARS' WORKSHOP PAGE 2024
Workshop Chairs
Mohammad-Reza Siadat, Oakland University
Samah Jamal Fodeh, Yale University
Workshop Organization Committee
Mohammad-Reza Siadat, Oakland University
Samah Jamal Fodeh, Yale University
- Sameer Antani, NIH National Library of Medicine
- Abbas Babajani-Feremi, University of Florida
- Rita Casadio, University of Bologna, Italy
- Ameen Eetemadi, University of California, Davis
- Wen-Yang Lin, National University of Kaohsiung
- Hamid Soltanian-Zadeh, Henry Ford health System
- Szilard Vajda, Central Washington University
- Joan Vila Francés, University of Valencia, Spain
Workshop paper submissions: September 1st, 2025
Extended workshop paper notifications: September 8th, 2025
Workshop paper notification: September 22nd, 2025
Camera-ready deadline and copyright forms: September 25th, 2025
Early bird registration finishes: TBD
Conference dates: November 12 - 15, 2025
Workshop date: November 14th, 2025
Submission and Procedures
Paper submissions should be made through the IEEE ICDM Workshop CyberChair submission system. To submit, please visit the webpage below and select Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH) (#51).
https://wi-lab.com/cyberchair/2025/icdm25/scripts/ws_submit.php?subarea=S
OR
Access this page directly by using the link below:
https://wi-lab.com/cyberchair/2025/icdm25/scripts/submit.php?subarea=S51&undisplay_detail=1&wh=/cyberchair/2025/icdm25/scripts/ws_submit.php
The submissions should follow the IEEE ICDM format requirements. All accepted workshop papers will be published in formal proceedings by the IEEE Computer Society Press. One paper will be selected for the Best Paper Award, which will be presented during the workshop.
Workshop's Date: Friday, November 14th, 2025
Workshop's Location: Statler B
Data Mining in Biomedical Informatics and Healthcare (DMBIH)Workshop Chair: Mohammad-Reza Siadat |
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|
Time |
Title |
Presenter/Author |
|
14:00-14:20 |
Opening Remarks |
Mohammad-Reza Siadat |
|
14:20-14:55 |
Discovery of Latent Dynamical Patterns in Biomedical Data |
Yuka Tamura |
|
14:55-15:30 |
Socio-Demographic and Spatial Determinants of COVID-19 Booster Uptake: A Graph Attention Network-Based Analysis |
Hossein Naderi |
|
15:30-16:00 |
Coffee Break |
|
|
16:00-16:20 |
From Structured EHR Data to Narratives: Large Language Models for Early Prediction of Multiple Sclerosis Relapse |
Yijun Zhao (virtual) |
|
16:20-16:50 |
X4FL: Explainability for Federated Learning in ICU Mortality Prediction |
Lena Mondrejevski |
|
16:50-17:00 |
“Best Paper Award” Ceremony and Closing Remarks |
Mohammad-Reza Siadat |
Keynote speaker information is coming soon.
Journal special issue will be determined shortly.
School of Engineering and Computer Science
115 Library Drive
Rochester , MI 48309-4479
(location map)
Dean's Office (248) 370-2217
Academic Advising (248) 370-2201
[email protected]
School of Engineering and Computer Science
115 Library Drive
Rochester , MI 48309-4479
(location map)
Dean's Office (248) 370-2217
Academic Advising (248) 370-2201
[email protected]
