{"id":"https://openalex.org/W4285410143","doi":"https://doi.org/10.1145/3532213.3532234","title":"An Association Rule Mining Algorithm for Clinical Decision Support","display_name":"An Association Rule Mining Algorithm for Clinical Decision Support","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285410143","doi":"https://doi.org/10.1145/3532213.3532234"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5080310201","display_name":"Jiaming Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Cui","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101396974","display_name":"Shuo Zhao","orcid":"https://orcid.org/0000-0001-6172-0931"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institue of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institue of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795543","display_name":"Xin Sun","orcid":"https://orcid.org/0000-0003-2643-1450"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Sun","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institue of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institue of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.408,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.581472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":70},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"143"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9993,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9993,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.995,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9793,"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/association","display_name":"Association (psychology)","score":0.4668525},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41925734}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.9149208},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.897062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6713077},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.66516656},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5356799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4694193},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4668525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4367947},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41925734},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4133331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3358425},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.57,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":5,"referenced_works":["https://openalex.org/W2119821739","https://openalex.org/W2166559705","https://openalex.org/W3020996743","https://openalex.org/W4231805003","https://openalex.org/W4242319700"],"related_works":["https://openalex.org/W2405599083","https://openalex.org/W2385229093","https://openalex.org/W2383034901","https://openalex.org/W2382310514","https://openalex.org/W2381066679","https://openalex.org/W2367209111","https://openalex.org/W2351642027","https://openalex.org/W2059333989","https://openalex.org/W2042132072","https://openalex.org/W119882956"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,90,110,118,144],"Machine":[3],"Learning":[4],"(ML)":[5],"in":[6,61],"healthcare":[7],"has":[8],"enormous":[9],"potential":[10,37],"for":[11,33],"improving":[12],"disease":[13,57],"detection,":[14],"clinical":[15],"decision":[16],"support.":[17],"Association":[18],"Rule":[19],"Mining":[20],"(ARM),":[21],"as":[22,81],"a":[23,69,82],"classical":[24],"machine":[25],"learning":[26],"method,":[27],"provides":[28],"researchers":[29],"with":[30],"important":[31],"opportunities":[32],"data":[34,137],"analysis":[35],"and":[36,101,105,130],"relationship":[38],"discovery.":[39],"In":[40],"this":[41],"paper,":[42],"the":[43,52,56,87,99,115,135,141],"weighted":[44],"Apriori":[45],"algorithm":[46,79],"(MW-Apriori)":[47],"is":[48],"proposed":[49],"to":[50,63],"discovery":[51],"association":[53,126],"rules":[54,106,127],"from":[55],"diagnostic":[58],"data.":[59],"Furthermore,":[60],"order":[62],"obtain":[64],"more":[65],"accurate":[66],"associations":[67],"on":[68,114,134],"higher":[70],"level,":[71],"we":[72,121],"design":[73],"an":[74],"improved":[75],"k-nearest":[76],"neighbor":[77],"(CW-KNN)":[78],"applied":[80],"pre-step,":[83],"which":[84],"can":[85,97],"divide":[86],"large":[88],"number":[89],"medical":[91],"texts":[92],"into":[93],"specific":[94],"classification.":[95],"MW-Apriori,":[96],"mine":[98],"hidden":[100],"potentially":[102],"useful":[103],"knowledge":[104],"behind":[107],"huge":[108],"amount":[109],"uncertain":[111],"information.":[112],"Based":[113],"high":[116],"correlation":[117],"classified":[119],"data,":[120],"have":[122,139],"also":[123],"obtained":[124],"high-quality":[125],"between":[128],"symptoms":[129],"diseases.":[131],"Experiment":[132],"results":[133],"multiple":[136],"sets":[138],"proved":[140],"superior":[142],"performance":[143],"MW-Apriori":[145],"algorithm.":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285410143","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-10T08:53:16.844727","created_date":"2022-07-14"}