[Om] Workshop on Data Analytics in Biomedicine

[conference at icdim.org]

CALL FOR PAPERS

First Workshop on "Data Analytics in Biomedicine"
(held in conjunction with IEEE DDP2024)
Fourth International Conference on Digital Data Processing
Yeshiva University.
New York, US
30 September - 01 October 2024
https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsocio.org.uk%2Fddp%2Fworkshop%2F&data=05%7C02%7C%7C35a2e3d4995b479021cf08dc9b5467c5%7Ccc7df24760ce4a0f9d75704cf60efc64%7C0%7C0%7C638556034024272070%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C60000%7C%7C%7C&sdata=vHp5v8Kk3lNnTER0BIl6llj3%2BEhDqtKPP8GXNhaNJwY%3D&reserved=0

CALL FOR PAPERS

The exponential growth of data generated from various textual sources 
presents both a challenge and a huge opportunity. A key challenge lies 
in effectively managing and extracting valuable insights from this vast 
amount of unstructured and heterogeneous data. To address this issue, 
advanced data analytics techniques, ranging from data and text mining to 
semantic network analysis and recent advancements in large language 
models (LLMs), have become indispensable tools for researchers and 
practitioners.

This is particularly relevant in the realm of biomedicine, where text 
mining has shown the ability to enable researchers to uncover hidden 
patterns, trends, and associations that would otherwise remain buried in 
the vast amount of health-related textual data, for instance, research 
articles, clinical reports, and electronic health records (EHRs).

On the other hand, semantic network analysis, which focuses on 
understanding the structure and dynamics of networks formed by entities 
and their interconnections derived from text mining processes, can 
facilitate a deeper understanding of the complex interrelationships 
within biomedical data. By analyzing properties like centrality, 
modularity, and community structures, researchers can identify key nodes 
and critical pathways in biological networks, predict disease 
associations, and explore the functional organization of biological 
systems.

The integration of text mining, semantic network analysis, and large 
language models offers a powerful approach to enhancing the ability to 
generate new hypotheses and insights and supporting the development of 
more effective diagnostics, treatments, and interventions.

The workshop represents an opportunity to explore the latest 
advancements in data analytics and text mining in biomedicine. Attendees 
will gain insights into developing more interpretable models, handling 
large-scale biomedical datasets, and implementing scalable solutions for 
real-world healthcare applications.

Moreover, the workshop is highly relevant because it has the potential 
to significantly improve the safety, effectiveness, and efficiency of 
biomedical interventions through advanced data analytics.

TOPIC OF INTEREST

We invite submissions on a wide range of topics, including but not 
limited to:

Novel techniques and measures for assessing textual data quality and 
handling data integration.
Advanced text mining techniques for biomedical data
Construction and analysis of semantic networks in biomedicine
Case studies on integrated text mining and semantic network analysis
Applications of LLMs in biomedicine
Data analytics in precision medicine
Text-driven approaches to drug discovery
Interpretable or scalable data analytics approaches
Application of Data Analytics and network science in Narrative Medicine
Computational methods for disease modeling and prediction
Ethical considerations in biomedical data analytics
Multimodal biomedical data analytics
Future trends and challenges in biomedical data analytics

PROGRAM

The workshop will take place on (To Be Announced). The program has yet 
to be made available. The Venue is Yeshiva University, New York.

PAPER SUBMISSION, REGISTRATION AND PUBLICATION

The submissions should follow the IEEE template.
Please refer to socio.org.uk/ddp/paper-submission/

IMPORTANT DATES

Submission of Papers: August 05, 2024
Review and Notification:  August 31, 2024
Camera-ready: Sep. 25, 2024
Workshop Date: Oct. 01, 2024
Post-conference proceedings: Nov. 30, 2024

WORKSHOP ORGANIZERS

Chiara Zucco, University Magna Graecia of Catanzaro, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Marianna Milano, University Magna Graecia of Catanzaro, Italy

PROGRAM COMMITTEE (TO BE CONFIRMED)

Marzia Settino, University of Calabria, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
Maria Chiara Martinis, University Magna Graecia of Catanzaro, Italy
Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy
Pietro Cinaglia, University Magna Graecia of Catanzaro, Italy
Ilaria Lazzaro, University Magna Graecia of Catanzaro, Italy
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