RichMedSem - 2016

1st International Workshop on Extraction and Processing of Rich Semantics from Medical Texts

collocated with ESWC 2016

: May 29, 2016 to June 2, 2016 in Anissaras, Crete, Greece

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Call for Papers

We invite presentations on the following topics (but not limited to):

Applications for rich semantics
  • Patient stratification and patient retrieval through rich semantics
  • Digital Patient Modelling
  • Clinical decision support systems and knowledge-based systems
Extraction of medical sentiments
  • Machine learning and lexicon-based methods for medical sentiment analysis
  • Specific language models for sentiment analysis
  • Deep learning and its usage in medical sentiment analysis
Analysis of extracted rich semantics from medical texts
  • Extraction of negation, uncertainty or intentions
  • Extraction and interpretation of quality, quantity, extent, severity indicators
  • Extraction of correlation between events
  • Topic detection and modelling in clinical text
  • Context scope determination Event extraction in medical texts
  • Event extraction from medical texts
  • Identification of relationship between events
  • Causality analysis between events in the medical domain
Corpus and gold standard generation for clinical domain
  • Annotation management
  • Schema definition
  • Annotation toolkits
  • Corpus sharing (convention with exchange schema)
Predictive modelling for morbidity and mortality based on medical semantics
  • Predictive modelling for temporal prediction
  • Predictive modelling suitable for clinical sparse data
  • Predictive modelling coping with uncertainty
Submissions should not exceed 12 pages and are to be formatted according to the Springer LNCS template and submitted to RichMedSem - 2016. Papers should be submitted in PDF format. We encourage various types of submission:
  • full papers (max 12 pages) for mature research work which has been subject to evaluation
  • poster/demo submissions (max 4 pages) for presenting early results, working demos, software, services and platforms.

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