{"id":"https://openalex.org/W2148242237","doi":"https://doi.org/10.1109/bibm.2010.5706610","title":"Semi-supervised feature learning from clinical text","display_name":"Semi-supervised feature learning from clinical text","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2148242237","doi":"https://doi.org/10.1109/bibm.2010.5706610","mag":"2148242237"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2010.5706610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"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/A5100741930","display_name":"Zhuoran Wang","orcid":"https://orcid.org/0000-0001-7218-4046"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhuoran Wang","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047980012","display_name":"John Shawe\u2010Taylor","orcid":"https://orcid.org/0000-0002-2030-0073"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Shawe-Taylor","raw_affiliation_strings":["Department of Computer Science, University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070940290","display_name":"Anoop D Shah","orcid":"https://orcid.org/0000-0002-8907-5724"},"institutions":[{"id":"https://openalex.org/I200166805","display_name":"Guy's and St Thomas' NHS Foundation Trust","ror":"https://ror.org/00j161312","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I200166805"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anoop Shah","raw_affiliation_strings":["Guys and St Thomas NHS Foundation Trust, Clinical Toxicology, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guys and St Thomas NHS Foundation Trust, Clinical Toxicology, London, UK","institution_ids":["https://openalex.org/I200166805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"462","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9900000095367432,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9882000088691711,"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/computer-science","display_name":"Computer science","score":0.8315285444259644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716310977935791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6361600160598755},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.6247003078460693},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5497808456420898},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.514642596244812},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49513354897499084},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.49280956387519836},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48814114928245544},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.48033156991004944},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.46305179595947266},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43729496002197266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1713172197341919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8315285444259644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716310977935791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6361600160598755},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.6247003078460693},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5497808456420898},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.514642596244812},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49513354897499084},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.49280956387519836},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48814114928245544},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.48033156991004944},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.46305179595947266},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43729496002197266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1713172197341919},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm.2010.5706610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1336824","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1336824/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE pp. 462-466. (2010)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2059331879","https://openalex.org/W2109206523","https://openalex.org/W2114388055","https://openalex.org/W2128097790","https://openalex.org/W2158319320","https://openalex.org/W2164474247","https://openalex.org/W2168001117","https://openalex.org/W2170708028","https://openalex.org/W2276615104","https://openalex.org/W4285719527","https://openalex.org/W6684997022","https://openalex.org/W6694686068"],"related_works":["https://openalex.org/W2905271011","https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W3164948662","https://openalex.org/W2621411691","https://openalex.org/W4289536128","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2515319207"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,54],"focused":[3],"on":[4,70],"the":[5,9,40,51,61,73,87],"automated":[6],"identification":[7],"of":[8,22,50,63,86],"clinical":[10],"free-text":[11],"records":[12],"that":[13,55],"contain":[14],"useful":[15],"information":[16],"(e.g.":[17],"symptoms,":[18],"modifiers,":[19],"diagnosis,":[20],"etc)":[21],"a":[23,28,45,83],"certain":[24],"disease.":[25],"We":[26],"introduce":[27],"novel":[29],"semi-supervised":[30],"machine":[31,43,95],"learning":[32,96],"algorithm":[33],"to":[34,91],"address":[35],"this":[36],"problem,":[37],"by":[38],"training":[39],"set":[41],"covering":[42],"in":[44],"bootstrapping":[46],"procedure.":[47],"The":[48],"advantage":[49],"proposed":[52],"technique":[53],"not":[56],"only":[57],"can":[58],"it":[59,75],"find":[60],"documents":[62],"interest":[64],"more":[65],"accurately":[66],"than":[67],"searching":[68],"based":[69],"diagnostic":[71],"codes,":[72],"features":[74],"learned":[76],"could":[77],"also":[78],"be":[79],"directly":[80],"used":[81],"as":[82],"knowledge":[84],"representation":[85],"given":[88],"topic":[89],"and":[90,101],"assist":[92],"either":[93],"further":[94],"algorithms":[97],"or":[98],"manual":[99],"post-processing":[100],"analysis.":[102]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
