Connectionists: Workshop om Data Analytics in Biomedicine

[STM STMet 2024]

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://socio.org.uk/ddp/workshop/ 

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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