{"id":"https://openalex.org/W2035524178","doi":"https://doi.org/10.1109/bibmw.2009.5332084","title":"Evaluating the weighted-keyword model to improve clinical question answering","display_name":"Evaluating the weighted-keyword model to improve clinical question answering","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2035524178","doi":"https://doi.org/10.1109/bibmw.2009.5332084","mag":"2035524178"},"language":"en","primary_location":{"id":"doi:10.1109/bibmw.2009.5332084","doi":"https://doi.org/10.1109/bibmw.2009.5332084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2009.5332084","pdf_url":null,"source":{"id":"https://openalex.org/S7407089102","display_name":"IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100516787","display_name":"Yong-gang Cao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong-Gang Cao","raw_affiliation_strings":["University of Wisconsin, Milwaukee, USA","Univ. of Wisconsin Milwaukee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Milwaukee, USA","institution_ids":["https://openalex.org/I43579087"]},{"raw_affiliation_string":"Univ. of Wisconsin Milwaukee","institution_ids":["https://openalex.org/I43579087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031656933","display_name":"John Ely","orcid":"https://orcid.org/0000-0002-5026-3103","observed_orcids":["https://orcid.org/0000-0002-5026-3103"]},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Ely","raw_affiliation_strings":["University of Iowa, USA","University of Iowa, "],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Iowa, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"University of Iowa, ","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017601806","display_name":"Hong Qing Yu","orcid":"https://orcid.org/0000-0001-9263-5035","observed_orcids":["https://orcid.org/0000-0001-9263-5035"]},"institutions":[{"id":"https://openalex.org/I43579087","display_name":"University of Wisconsin\u2013Milwaukee","ror":"https://ror.org/031q21x57","country_code":"US","type":"education","lineage":["https://openalex.org/I43579087"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Yu","raw_affiliation_strings":["University of Wisconsin, Milwaukee, USA","Univ. of Wisconsin Milwaukee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Milwaukee, USA","institution_ids":["https://openalex.org/I43579087"]},{"raw_affiliation_string":"Univ. of Wisconsin Milwaukee","institution_ids":["https://openalex.org/I43579087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7458,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69931051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5264000296592712,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5264000296592712,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.2992999851703644,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.09510000050067902,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-question-answering","display_name":"medical question answering","score":0.9670000076293945},{"id":"https://openalex.org/keywords/evidence-based-medicine","display_name":"evidence-based medicine","score":0.7950000166893005},{"id":"https://openalex.org/keywords/physician-questions","display_name":"physician questions","score":0.4519999921321869},{"id":"https://openalex.org/keywords/answer-quality-evaluation","display_name":"answer quality evaluation","score":0.6610000133514404}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8791788816452026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7560927867889404},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6568512916564941},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5632259249687195},{"id":"https://openalex.org/C2988412617","wikidata":"https://www.wikidata.org/wiki/Q7441656","display_name":"Keyword search","level":2,"score":0.5556322932243347},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4865249991416931},{"id":"https://openalex.org/C3019144022","wikidata":"https://www.wikidata.org/wiki/Q4124998","display_name":"Questions and answers","level":2,"score":0.4725591540336609},{"id":"https://openalex.org/C2992886853","wikidata":"https://www.wikidata.org/wiki/Q18381816","display_name":"Post hoc","level":2,"score":0.4309341311454773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3680513799190521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341159462928772},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23659855127334595},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibmw.2009.5332084","doi":"https://doi.org/10.1109/bibmw.2009.5332084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2009.5332084","pdf_url":null,"source":{"id":"https://openalex.org/S7407089102","display_name":"IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W123403989","https://openalex.org/W1550258693","https://openalex.org/W1835571316","https://openalex.org/W1967670002","https://openalex.org/W2108574809","https://openalex.org/W2124893143","https://openalex.org/W2145001721","https://openalex.org/W2162102207","https://openalex.org/W2166190866","https://openalex.org/W2404299085"],"related_works":["https://openalex.org/W215040374","https://openalex.org/W7097688820","https://openalex.org/W2087227067","https://openalex.org/W2141756401","https://openalex.org/W1985206358","https://openalex.org/W1482992010","https://openalex.org/W7097978970","https://openalex.org/W31203743","https://openalex.org/W2100063810","https://openalex.org/W4402500998"],"abstract_inverted_index":{"Physicians":[0],"ask":[1],"many":[2],"complex":[3],"questions":[4,84],"during":[5],"their":[6],"encounters":[7],"with":[8,86],"patients.":[9],"Question":[10],"answering":[11,41,66],"systems":[12,26],"provide":[13],"immediate":[14],"and":[15,23,87],"direct":[16],"answers":[17,46,78],"to":[18,44,47,79],"ad":[19,81],"hoc":[20,82],"clinical":[21,39,83],"questions,":[22],"because":[24],"these":[25],"might":[27],"aid":[28],"in":[29,101],"the":[30,38,55,89,96],"practice":[31],"of":[32,57,70],"evidence-based":[33],"medicine,":[34],"we":[35,53],"are":[36],"developing":[37],"question":[40,65,102],"system,":[42],"AskHERMES,":[43],"generate":[45],"such":[48],"questions.":[49],"In":[50],"this":[51,71],"study,":[52],"report":[54],"evaluation":[56],"a":[58,73],"new":[59],"weighted-keyword":[60,90,97],"model":[61,98],"for":[62],"improving":[63],"our":[64],"system.":[67],"As":[68],"part":[69],"development,":[72],"physician":[74],"manually":[75],"examined":[76],"AskHERMES'":[77],"20":[80],"created":[85],"without":[88],"model.":[91],"The":[92],"results":[93],"show":[94],"that":[95],"improves":[99],"quality":[100],"answering.":[103],"AskHERMES":[104],"can":[105],"be":[106],"accessed":[107],"at":[108],"http://www.AskHERMES.org.":[109]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}
