{"id":"https://openalex.org/W2094937180","doi":"https://doi.org/10.1145/2063576.2063846","title":"Information extraction from pathology reports in a hospital setting","display_name":"Information extraction from pathology reports in a hospital setting","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2094937180","doi":"https://doi.org/10.1145/2063576.2063846","mag":"2094937180"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"article","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/A5071033512","display_name":"David Mart\u00ednez","orcid":"https://orcid.org/0000-0002-8969-9318"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"David Martinez","raw_affiliation_strings":["NICTA & University of Melbourne, Melbourne, Australia","NICTA & University of Melbourne, Melbourne, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"NICTA & University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I165779595"]},{"raw_affiliation_string":"NICTA & University of Melbourne, Melbourne, Australia#TAB#","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387763","display_name":"Yue Li","orcid":"https://orcid.org/0000-0002-1163-3634"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["NICTA & University of Melbourne, Melbourne, Australia","NICTA & University of Melbourne, Melbourne, Australia#TAB#"],"affiliations":[{"raw_affiliation_string":"NICTA & University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I165779595"]},{"raw_affiliation_string":"NICTA & University of Melbourne, Melbourne, Australia#TAB#","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071033512"],"corresponding_institution_ids":["https://openalex.org/I165779595","https://openalex.org/I42894916"],"apc_list":null,"apc_paid":null,"fwci":0.7817,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.71012722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1877","last_page":"1882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.8046494722366333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159440517425537},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6468032002449036},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5456762909889221},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4945084750652313},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.48729240894317627},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.43018263578414917},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4297563135623932},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.42706698179244995},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37836647033691406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.238396555185318},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.23484784364700317},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18762975931167603}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8046494722366333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159440517425537},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6468032002449036},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5456762909889221},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4945084750652313},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.48729240894317627},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.43018263578414917},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4297563135623932},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.42706698179244995},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37836647033691406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.238396555185318},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.23484784364700317},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18762975931167603},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2063846","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W192665053","https://openalex.org/W1550258693","https://openalex.org/W1570448133","https://openalex.org/W1939796399","https://openalex.org/W2037033158","https://openalex.org/W2076424959","https://openalex.org/W2099008550","https://openalex.org/W2100676408","https://openalex.org/W2139865360","https://openalex.org/W2145522203","https://openalex.org/W2162311237","https://openalex.org/W2604748391","https://openalex.org/W2966207845","https://openalex.org/W3103913776"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W2405355225","https://openalex.org/W4367460280","https://openalex.org/W2004087619","https://openalex.org/W2557094866","https://openalex.org/W2469016277","https://openalex.org/W2362196274","https://openalex.org/W2757101400","https://openalex.org/W1982302668","https://openalex.org/W2240384024"],"abstract_inverted_index":{"As":[0],"more":[1],"health":[2],"data":[3],"becomes":[4],"available,":[5],"information":[6,58,96],"extraction":[7],"aims":[8],"to":[9,56,94],"make":[10],"an":[11],"impact":[12],"on":[13,69],"the":[14,23,27,49,52,83],"workflows":[15],"of":[16,22,29,51,85,104],"hospitals":[17],"and":[18,38,100,108],"care":[19],"centers.":[20],"One":[21],"targeted":[24],"areas":[25],"is":[26],"management":[28],"pathology":[30,60],"reports,":[31],"which":[32],"are":[33],"employed":[34],"for":[35],"cancer":[36],"diagnosis":[37],"staging.":[39],"In":[40],"this":[41],"work":[42],"we":[43],"integrate":[44],"text":[45],"mining":[46],"tools":[47],"in":[48,88],"workflow":[50],"Royal":[53],"Melbourne":[54],"Hospital,":[55],"extract":[57,95],"from":[59],"reports":[61,90],"with":[62,97],"minimal":[63],"expert":[64],"intervention.":[65],"Our":[66,79],"framework":[67],"relies":[68],"coarse-grained":[70],"annotation":[71],"(at":[72],"document":[73],"level),":[74],"making":[75],"it":[76,92],"highly":[77],"portable.":[78],"evaluation":[80],"shows":[81],"that":[82],"kind":[84],"language":[86],"used":[87],"these":[89],"makes":[91],"feasible":[93],"high":[98],"precision":[99],"recall,":[101],"by":[102],"means":[103],"state-of-the-art":[105],"classification":[106],"methods,":[107],"feature":[109],"engineering.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}