http://hdl.handle.net/10027/34 Formally presented lectures, conference presentations, etc. Tue, 21 May 2013 22:38:29 GMT 2013-05-21T22:38:29Z http://dspace-prod-lib.cc.uic.edu:80/bitstream/id/59/arrowsmith-final-top.gif http://hdl.handle.net/10027/34 http://hdl.handle.net/10027/89 Aiding Biomedical Researchers with Tools to Assist Discovery Smalheiser, Neil R. The Arrowsmith Project two node search is used for many daily information needs as an extension of PubMed searches. The two node search can now be conducted and analyzed in a matter of minutes, not hours or days, and it can be utilized by the general scientific public for a variety of information needs, including but NOT restricted to searching for and assessing hypotheses. Presented at the AMIA (American Medical Informatics Assocation) Spring Congress 2006 "Informatics Across the Spectrum from Clinical Care to Biomedical Research." May 16-18, 2006, Pointe South Mountain Resort, Phoenix, AZ Thu, 18 May 2006 05:00:00 GMT http://hdl.handle.net/10027/89 2006-05-18T05:00:00Z http://hdl.handle.net/10027/81 Author Name Disambiguation in Medline Torvik, Vetle I.; Smalheiser, Neil R. Presented at Workshop for Scholarly Databases & Data Integration, Indiana University, Bloomington, IN. August 31, 2006 Thu, 31 Aug 2006 05:00:00 GMT http://hdl.handle.net/10027/81 2006-08-31T05:00:00Z http://hdl.handle.net/10027/42 What every Psychiatric Researcher should know about Informatics Smalheiser, Neil R Presented at the International Congress on Schizophrenia Research, March 29-April 2, 2003. Wed, 01 Jan 2003 06:00:00 GMT http://hdl.handle.net/10027/42 2003-01-01T06:00:00Z http://hdl.handle.net/10027/39 Knowledge Discovery in Medline and Other Databases. Smalheiser, Neil R All neuroscientists are in the business of discovering knowledge about how the brain works. However, only a portion of time is spent in making new discoveries in the laboratory or clinic. An increasingly large task is to learn what has already been reported in the literature: either to assess an hypothesis and to plan out the best way to test it, or to keep abreast of new research trends, or simply to avoid rediscovering something already known. The days are gone when a person could keep up in neuroscience simply by scanning the pages of a few leading journals, or even by using alerting services such as Current Contents. Investigators not only need to become sophisticated users of Medline, the primary repository of published biomedical literature -- more than that, they need to go beyond simple queries. Think of getting information in Genbank: A simple query will retrieve the nucleotide sequence for “reelin”, but one cannot directly look up the most probable transcription factor binding sites within its promoter region. Rather, specialized algorithms are needed to process the raw data and make plausible inferences (and these still need to be confirmed in the laboratory). Similarly, you can look up lots of findings in the biomedical literature, but to find knowledge that is implicit (not explicitly stated) and to make inferences, specialized approaches are needed. The purpose of this chapter is to guide neuroscientists in using informatics tools for making inferences in Medline as well as other public and private research databases. Wed, 01 Jan 2003 06:00:00 GMT http://hdl.handle.net/10027/39 2003-01-01T06:00:00Z