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An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural
Gleb Danilov1, Michael Shifrin1, Uliya Strunina1
1National Medical Research Center for Neurosurgery named after N.N. Burdenko, Moscow, RussianFederation.
Abstract:
Rich-in-morphology language, such as Russian, present a challenge for extraction of professional medical information. In this paper, we report on our solution to identify adverse events (complications) in neurosurgery based on natural language processing and professional medical judgment. The algorithm we proposed is easily implemented and feasible in a broad spectrum of clinical studies.
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