Clinical and biomedical text mining deals with the automated processing of health-related documents, including electronic health records, biomedical literature, user generated content in health forums and blogs, among others. Applications span from document classification and labeling (e.g. coding of clinical notes) to creating models for clinical prediction and decision support.
This special track aims at bringing together researchers interested in this field and discussing the most recent advances, challenges and open questions.
The topics include, but are not limited to:
- Biomedical and clinical text mining applications, incl. for example classification, labeling
- Information extraction from biomedical and clinical text, incl. for example, named entity recognition and normalization, relation and event extraction, dealing with negation and uncertainty
- Temporal information extraction
- Patient modelling and outcome prediction using clinical notes
- Health question answering
- Clinical text mining for clinical decision support
- Use of medical vocabularies and ontologies for biomedical NLP and text mining
- Vocabulary mapping and data harmonization
- Analysis of user generated content, incl. for example applications in pharmacovigilance
- Information retrieval from large biomedical data collections
- Cross- and multi-lingual aspects in biomedical and clinical text mining and information retrieval
- Evaluation and resources for biomedical and clinical text mining and NLP
- Prospective authors are invited to submit papers in any of the topics listed above.
- Instructions for preparing the manuscript (in Word and Latex formats) are available at: Call for Papers (main track)
- Please also check the Guidelines.
- Papers must be submitted electronically via the web-based submission system.
- Sérgio Matos, Universidade de Aveiro, Portugal
- Karin Verspoor, University of Melbourne, Australia
- Feichen Shen, Mayo Clinic, USA
- Anthony Nguyen, CSIRO, Australia
- Bridget McInnes, Virginia Commonwealth University, USA
- Elena Daskalaki, Australian National University, Australia
- Fabio Rinaldi, IDSIA, Switzerland
- Francisco M. Couto, University of Lisbon, Portugal
- Hanna Suominen, Australian National University, Australia
- Kirk Roberts, University of Texas, USA
- Mariana Lara-Neves, German Federal Institute for Risk Assessment, Germany
- Martin Krallinger, Barcelona Supercomputing Center, Spain
- Paloma Martínez Fernández, Universidad Carlos III de Madrid, Spain
- Robert Leaman, NCBI, USA
- Samuel Henry, Christopher Newport University, USA
- Sophia Ananiadou, Manchester University, UK
A journal special issue will be proposed to authors with accepted papers for submitting an extended version of their work.
Easychair platform for submissions: https://easychair.org/conferences/?conf=cbms2021