{"id":"https://openalex.org/W2081203527","doi":"https://doi.org/10.1145/2147805.2147896","title":"Automatic detection of vaccine adverse reactions by incorporating historical medical conditions","display_name":"Automatic detection of vaccine adverse reactions by incorporating historical medical conditions","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2081203527","doi":"https://doi.org/10.1145/2147805.2147896","mag":"2081203527"},"language":"en","primary_location":{"id":"doi:10.1145/2147805.2147896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2147805.2147896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://conservancy.umn.edu/bitstreams/06db4bc2-1173-4e5a-8416-fe099e46858a/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044342356","display_name":"Zhonghua Jiang","orcid":"https://orcid.org/0000-0002-7526-5877"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhonghua Jiang","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082384108","display_name":"George Karypis","orcid":"https://orcid.org/0000-0003-2753-1437"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Karypis","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1331,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5359636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9886999726295471,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9886999726295471,"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9703999757766724,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9692999720573425,"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/lift","display_name":"Lift (data mining)","score":0.7518941164016724},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6524723768234253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334928274154663},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6265562772750854},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6034334897994995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4640817642211914},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43183642625808716},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4137091636657715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34717804193496704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19438868761062622},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11838141083717346}],"concepts":[{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.7518941164016724},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6524723768234253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334928274154663},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6265562772750854},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6034334897994995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4640817642211914},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43183642625808716},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4137091636657715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34717804193496704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19438868761062622},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11838141083717346},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2147805.2147896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2147805.2147896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},{"id":"pmh:oai:conservancy.umn.edu:11299/215854","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215854","pdf_url":"https://conservancy.umn.edu/bitstreams/06db4bc2-1173-4e5a-8416-fe099e46858a/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"}],"best_oa_location":{"id":"pmh:oai:conservancy.umn.edu:11299/215854","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215854","pdf_url":"https://conservancy.umn.edu/bitstreams/06db4bc2-1173-4e5a-8416-fe099e46858a/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.699999988079071,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G4217425893","display_name":null,"funder_award_id":"IIS-0905220OCI-1048018IOS-0820730","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G6678170988","display_name":null,"funder_award_id":"IIS-0905220OCI-1048018IOS-0820730","funder_id":"https://openalex.org/F4320337399","funder_display_name":"Division of Integrative Organismal Systems"},{"id":"https://openalex.org/G7781458107","display_name":null,"funder_award_id":"IIS-0905220OCI-1048018IOS-0820730","funder_id":"https://openalex.org/F4320337377","funder_display_name":"Office of Advanced Cyberinfrastructure"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"},{"id":"https://openalex.org/F4320337377","display_name":"Office of Advanced Cyberinfrastructure","ror":"https://ror.org/04nh1dc89"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337399","display_name":"Division of Integrative Organismal Systems","ror":"https://ror.org/01rvays47"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2081203527.pdf","grobid_xml":"https://content.openalex.org/works/W2081203527.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W178392936","https://openalex.org/W1484413656","https://openalex.org/W1506285740","https://openalex.org/W1516723845","https://openalex.org/W1972870286","https://openalex.org/W2001219627","https://openalex.org/W2015487160","https://openalex.org/W2022904609","https://openalex.org/W2029817244","https://openalex.org/W2036965053","https://openalex.org/W2039594635","https://openalex.org/W2064853889","https://openalex.org/W2083991698","https://openalex.org/W2099404336","https://openalex.org/W2111632643","https://openalex.org/W2126400629","https://openalex.org/W2129796827","https://openalex.org/W2132219058","https://openalex.org/W2140742150","https://openalex.org/W2156650677","https://openalex.org/W4233888847","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4389397071","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145"],"abstract_inverted_index":{"This":[0],"paper":[1],"extends":[2],"the":[3,30,51,56],"problem":[4,28],"of":[5,32],"vaccine":[6],"adverse":[7],"reaction":[8],"detection":[9],"by":[10],"incorporating":[11],"historical":[12],"medical":[13],"conditions.":[14],"We":[15,36],"propose":[16],"a":[17,38,45],"novel":[18,46],"measure":[19,53],"called":[20],"dual-lift":[21,52],"for":[22,54],"this":[23,27],"task,":[24],"and":[25,64,74],"formulate":[26],"in":[29],"framework":[31],"constraint":[33],"pattern":[34,39],"mining.":[35],"present":[37],"mining":[40],"algorithm":[41],"DLiftMiner":[42],"which":[43],"utilizes":[44],"approach":[47],"to":[48],"upper":[49],"bound":[50],"reducing":[55],"search":[57],"space.":[58],"Experimental":[59],"results":[60],"on":[61],"both":[62],"synthetic":[63],"real":[65],"world":[66],"datasets":[67],"show":[68],"that":[69],"our":[70],"method":[71],"is":[72],"effective":[73],"promising.":[75]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}