The potential for automated question answering in the context of genomic medicine: an assessment of existing resources and properties of answers. Export

@article{citeulike:5909727, abstract = {Knowledge gained in studies of genetic disorders is reported in a growing body of biomedical literature containing reports of genetic variation in individuals that map to medical conditions and/or response to therapy. These scientific discoveries need to be translated into practical applications to optimize patient care. Translating research into practice can be facilitated by supplying clinicians with research evidence. We assessed the role of existing tools in extracting answers to translational research questions in the area of genomic medicine. We: evaluate the coverage of translational research terms in the Unified Medical Language Systems (UMLS) Metathesaurus; determine where answers are most often found in full-text articles; and determine common answer patterns. Findings suggest that we will be able to leverage the UMLS in development of natural language processing algorithms for automated extraction of answers to translational research questions from biomedical text in the area of genomic medicine.}, author = {Overby, Casey Lynnette L. and Tarczy-Hornoch, Peter and Demner-Fushman, Dina}, citeulike-article-id = {5909727}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1471-2105-10-S9-S8}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19761578}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19761578}, doi = {10.1186/1471-2105-10-S9-S8}, issn = {1471-2105}, journal = {BMC bioinformatics}, keywords = {answering, question}, number = {Suppl 9}, pages = {S8+}, posted-at = {2009-10-08 15:27:57}, priority = {2}, title = {The potential for automated question answering in the context of genomic medicine: an assessment of existing resources and properties of answers.}, url = {http://dx.doi.org/10.1186/1471-2105-10-S9-S8}, volume = {10 Suppl 9}, year = {2009} }

TY - JOUR ID - citeulike:5909727 L3 - citeulike-article-id:5909727 N2 - Knowledge gained in studies of genetic disorders is reported in a growing body of biomedical literature containing reports of genetic variation in individuals that map to medical conditions and/or response to therapy. These scientific discoveries need to be translated into practical applications to optimize patient care. Translating research into practice can be facilitated by supplying clinicians with research evidence. We assessed the role of existing tools in extracting answers to translational research questions in the area of genomic medicine. We: evaluate the coverage of translational research terms in the Unified Medical Language Systems (UMLS) Metathesaurus; determine where answers are most often found in full-text articles; and determine common answer patterns. Findings suggest that we will be able to leverage the UMLS in development of natural language processing algorithms for automated extraction of answers to translational research questions from biomedical text in the area of genomic medicine. IS - Suppl 9 JF - BMC bioinformatics SN - 1471-2105 TI - The potential for automated question answering in the context of genomic medicine: an assessment of existing resources and properties of answers. VL - 10 Suppl 9 SP - S8 KW - answering KW - question AU - Overby, Casey Lynnette AU - Tarczy-Hornoch, Peter AU - Demner-Fushman, Dina PY - 2009/// UR - http://dx.doi.org/10.1186/1471-2105-10-S9-S8 ER -