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Text Mining Special Interest Group

Text Mining Special Interest Group. Ron Behling, Bristol-Myers Squibb Novartis Institute for Biomedical Research, Cambridge, MA 6-8 th October 2004. At Bristol-Myers Squibb, Text Mining is considered a solution for…?. General searching of

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Text Mining Special Interest Group

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  1. Text Mining Special Interest Group Ron Behling, Bristol-Myers Squibb Novartis Institute for Biomedical Research, Cambridge, MA 6-8th October 2004

  2. At Bristol-Myers Squibb, Text Mining is considered a solution for…? • General searching of • Documents associated with creating and managing clinical studies • Documents for Filings • “Knowledge desktops” • Integrating information from multiple areas • Considering more focused solutions • Safety related information • Reuse of protocols in research and exploratory development (preclinical safety, MAP, etc) • Find information about product development and formulations

  3. What are the Critical Business Needs that Text Mining Could Address? • Identify and prioritize targets • Be aware of “all” relevant information about target • Associate this with target class and pathway information • Associate with chemical class modulator information • Finding “all” safety information about a topic • Internal • external • Support general reporting needs

  4. What Questions do Users Want to Ask ? • What is known about ‘X’? • What reports have been published about ‘X’? • What protocols have been run on ‘X’? • Give me all information related to the filing for ‘X’. • Give me all known internal and external safety information about ‘X’. • What are all known safety issues for this class of compound? • Give me everything ‘Y’ has said about ‘X’. • Who is knowledgeable about ‘X’? • ‘X’ associated with which pathways, and where is it critical?

  5. Text Mining Applications/Components Rowan Gardner: Do you agree with this view of Text Mining? If not Change IT!

  6. Current Text Mining Applications in Bristol-Myers Squibb? • Documentum • Verity • Microsoft Search • internal human-curated database

  7. What Future Applications are Planned? • Nothing definitive

  8. Conclusions • We have a lot of work to do

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