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.
Endorsed by: and

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.

Endorsed by:

and