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SUMMARY:Biomedical Text Mining: Structuring the Unstructured - David Milwa
 rd (Linguamatics)
DTSTART:20161103T110000Z
DTEND:20161103T120000Z
UID:TALK68123@talks.cam.ac.uk
CONTACT:Mohammad Taher Pilehvar
DESCRIPTION:How can we capture information from biomedical text as conveni
 ently as accessing a database? In this talk we will look at some of the ch
 allenges in processing diverse biomedical documents including scientific l
 iterature and electronic medical records. In addition to syntactic and sem
 antic challenges\, we will discuss the challenges of embedded tables and d
 ocument structure.\n\nMany of these challenges have been addressed over th
 e last 15 years within the agile text mining platform\, I2E\, allowing a w
 ide range of practical applications in both the pharmaceutical industry an
 d healthcare. The talk will conclude by showing how normalisation of conce
 pts and relationships allows direct selection of patients using criteria s
 uch as "between 18 and 65 years old\, have cancer\, weigh over 200lbs\, an
 d have a specific gene mutation". 
LOCATION:GR05\, English Faculty\, 9 West Road (Sidgwick Site)
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