DMBIH Workshop 2023

The 11th Data Mining in Biomedical Informatics and Healthcare (DMBIH)

Shanghai, China, December 1-4, 2023
In conjunction with the IEEE ICDM 2023

The 11th Workshop on Data Mining in Biomedical Informatics and Healthcare aims to provide a forum for data miners, informaticists, data scientists, AI researchers and clinical researchers to share their latest investigations 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 data analytical techniques to exploit and manage these big data. The broader context of the workshop comprehends artificial intelligence, information retrieval, machine learning, deep learning and knowledge extraction methods using biomedical image 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.

Overview

Last Years' Workshop Page 2022

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
Computational genetics, genomics and proteomics

Organization

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

Last Year's Program Committee

Sameer Antani, NIH National Library of Medicine
Suzan Arslanturk, Wayne State University
Abbas Babajani-Feremi, University of Florida
Wejdan Bagais, US Pharmacopeia
Rita Casadio, University of Bologna, Italy
Ameen Eetemadi, University of California, Davis
Kourosh Jafari-Khouzani, Merative
Stefan Kramer, Institute of Computer Science, Johannes Gutenberg University, Germany
Wen-Yang Lin, National University of Kaohsiung, Taiwan, R.O.C
Saeed Salem, North Dakota State University
Abeed Sarker, Emory University
Hamid Soltanian-Zadeh, Henry Ford Health System
Szilard Vajda, Central Washington University
Joan Vila Francés, University of Valencia, Spain
Jie Zheng, Shanghai Tech University, China

Important Dates

Workshop paper submission: September 5, 2023
Workshop paper notification: September 24, 2023
Camera-ready deadline and copyright forms: October 1, 2023
Conference dates: December 1 - 4, 2023
Workshop Date: December 1, 2023

*All times are at 11:59PM Beijing Time*

Paper Submission

Submission and Procedures

Paper submissions will be done through the IEEE ICDM Workshop CyberChair submission system. To submit a paper, visit this webpage and click on “Workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH)” (#37) or use this link

The submissions should follow the IEEE ICDM format requirements 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 awarded at the workshop.

*Online Attendance Option*: In light of potential hesitancy for international traveling, we are considering providing an online attendance option for the ICDM workshops. This would cater to those
who may face travel restrictions or have concerns about in-person attendance.

Schedule of Program

To be determined shortly

Keynote Speaker

To be determined shortly

Journal Special Issue

To be determined shortly

School of Engineering and Computer Science

Engineering Center, Room 301
115 Library Drive
Rochester , MI 48309-447
(location map)
Dean's Office (248) 370-2217
Academic Advising (248) 370-2201