Swiss Medical Informatics - SGMI

thirds of the domain knowledge predicted by our method
is fully valid. Although partial, this result demonstrates
that text-mining methods can automatically generate asignificant
subset of expert medical knowledge as available
in alarge text repository such as the MEDLINE digital library.
Asafuture task we plan touse alternative corpora
such asClearingHouse (www.guidelines.gov), which can
be used as avaluable complement to MEDLINE for clinical
guidelines and evidence-based medicine. Our approach
should then be integrated into an interactive tool
for creating and validating rules for drug prescription,
which should facilitate antibiotic prescription rules management
and publication of guidelines in largehealth care
institutions and public health administrations.
Acknowledgements
This experiment has been supported by the EU-IST-FP7
DebugIT project #712139. Development of the EAGLi
question-answering framework was supported by SNF
Grant #325230-120758.
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