{"id":"https://openalex.org/W1490892317","doi":"https://doi.org/10.1186/s12911-015-0170-6","title":"Fuzzy association rule mining and classification for the prediction of malaria in South Korea","display_name":"Fuzzy association rule mining and classification for the prediction of malaria in South Korea","publication_year":2015,"publication_date":"2015-06-17","ids":{"openalex":"https://openalex.org/W1490892317","doi":"https://doi.org/10.1186/s12911-015-0170-6","mag":"1490892317","pmid":"https://pubmed.ncbi.nlm.nih.gov/26084541"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-015-0170-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0170-6","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-015-0170-6","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-015-0170-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036462876","display_name":"Anna L. Buczak","orcid":"https://orcid.org/0000-0002-4468-7719"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anna L. Buczak","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA. anna.buczak@jhuapl.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA. anna.buczak@jhuapl.edu","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086451161","display_name":"Benjamin Baugher","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Baugher","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103648432","display_name":"Erhan Guven","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erhan Guven","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081085325","display_name":"Liane Ramac-Thomas","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liane C. Ramac-Thomas","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070317356","display_name":"Yevgeniy Elbert","orcid":null},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yevgeniy Elbert","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067750384","display_name":"Steven M. Babin","orcid":"https://orcid.org/0000-0002-1903-7087"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven M. Babin","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047760455","display_name":"Sheri Lewis","orcid":"https://orcid.org/0000-0002-3006-0763"},"institutions":[{"id":"https://openalex.org/I2802946424","display_name":"Johns Hopkins University Applied Physics Laboratory","ror":"https://ror.org/029pp9z10","country_code":"US","type":"facility","lineage":["https://openalex.org/I145311948","https://openalex.org/I2802946424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheri H. Lewis","raw_affiliation_strings":["Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD, 20723-6099, USA","institution_ids":["https://openalex.org/I2802946424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036462876"],"corresponding_institution_ids":["https://openalex.org/I2802946424"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":1.3103,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.86058418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"47","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.21889999508857727,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.21889999508857727,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.19110000133514404,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.07460000365972519,"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/malaria","display_name":"Malaria","score":0.6500946283340454},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6049043536186218},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6045516729354858},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.585838794708252},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48043060302734375},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.44749921560287476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4440966844558716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4422645568847656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42272084951400757},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4119044244289398},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3663559556007385},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28227055072784424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21710386872291565}],"concepts":[{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.6500946283340454},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6049043536186218},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6045516729354858},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.585838794708252},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48043060302734375},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.44749921560287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4440966844558716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4422645568847656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42272084951400757},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4119044244289398},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3663559556007385},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28227055072784424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21710386872291565},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008288","descriptor_name":"Malaria","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D008288","descriptor_name":"Malaria","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D008288","descriptor_name":"Malaria","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D056910","descriptor_name":"Republic of Korea","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062665","descriptor_name":"Epidemiological Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062665","descriptor_name":"Epidemiological Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062665","descriptor_name":"Epidemiological Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1186/s12911-015-0170-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0170-6","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-015-0170-6","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:26084541","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26084541","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:europepmc.org:3434487","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4472166","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-015-0170-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0170-6","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-015-0170-6","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.800000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"},{"id":"https://openalex.org/F4320334119","display_name":"Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1490892317.pdf","grobid_xml":"https://content.openalex.org/works/W1490892317.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W24725597","https://openalex.org/W46659105","https://openalex.org/W1504694836","https://openalex.org/W1570448133","https://openalex.org/W1571652651","https://openalex.org/W1955858672","https://openalex.org/W1969467827","https://openalex.org/W1984799410","https://openalex.org/W2005356115","https://openalex.org/W2006978516","https://openalex.org/W2020018978","https://openalex.org/W2027731993","https://openalex.org/W2036959577","https://openalex.org/W2040267293","https://openalex.org/W2043678222","https://openalex.org/W2055094983","https://openalex.org/W2057077277","https://openalex.org/W2065141916","https://openalex.org/W2076320704","https://openalex.org/W2112941164","https://openalex.org/W2114182606","https://openalex.org/W2125055259","https://openalex.org/W2126455177","https://openalex.org/W2128420091","https://openalex.org/W2136131854","https://openalex.org/W2136142198","https://openalex.org/W2138199514","https://openalex.org/W2149706766","https://openalex.org/W2153080484","https://openalex.org/W2154642793","https://openalex.org/W2154776925","https://openalex.org/W2156909104","https://openalex.org/W2162714623","https://openalex.org/W2166559705","https://openalex.org/W2169195671","https://openalex.org/W2171529384","https://openalex.org/W2174207590","https://openalex.org/W2420879496","https://openalex.org/W2788073857","https://openalex.org/W2911964244","https://openalex.org/W2966207845","https://openalex.org/W3015637930","https://openalex.org/W4230674625","https://openalex.org/W4253722768"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W4224941037","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4323294312","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4313289487","https://openalex.org/W4224922629"],"abstract_inverted_index":{"BACKGROUND:":[0],"Malaria":[1],"is":[2,70,133,140],"the":[3,59,65,162,181,200,229,233,305,319],"world's":[4],"most":[5],"prevalent":[6],"vector-borne":[7],"disease.":[8],"Accurate":[9],"prediction":[10,36,90,264,294,320],"of":[11,31,61,68,110,287,321],"malaria":[12,89,93,293],"outbreaks":[13],"may":[14],"lead":[15],"to":[16,43,86,160,271],"public":[17],"health":[18],"interventions":[19],"that":[20,310],"mitigate":[21],"disease":[22,263],"morbidity":[23],"and":[24,50,73,82,113,148,173,177,186,192,196,225,238,249,269],"mortality.":[25],"METHODS:":[26],"We":[27],"describe":[28],"an":[29,135],"application":[30],"a":[32,75,88,108,119,125,253],"method":[33,260],"for":[34,118,150,180,199,228,261,274,318],"creating":[35,262],"models":[37,265,273,295],"utilizing":[38],"Fuzzy":[39],"Association":[40],"Rule":[41],"Mining":[42],"extract":[44],"relationships":[45,56],"between":[46],"epidemiological,":[47],"meteorological,":[48],"climatic,":[49],"socio-economic":[51],"data":[52,156,312],"from":[53,63],"Korea.":[54],"These":[55],"are":[57,95,105,175,194,211],"in":[58,121,169,304],"form":[60],"rules,":[62],"which":[64],"best":[66],"set":[67],"rules":[69],"automatically":[71],"chosen":[72],"forms":[74],"classifier.":[76],"Two":[77],"classifiers":[78],"have":[79],"been":[80,267],"built":[81],"their":[83],"results":[84,206],"fused":[85],"become":[87],"model.":[91,163],"Future":[92],"cases":[94,301],"predicted":[96],"as":[97,107],"Low,":[98,297],"Medium":[99,234,298],"or":[100,299],"High,":[101],"where":[102],"these":[103],"classes":[104],"defined":[106],"total":[109],"0-2,":[111],"3-16,":[112],"above":[114],"17":[115],"cases,":[116],"respectively,":[117,179,198],"region":[120],"South":[122,291],"Korea":[123,292],"during":[124],"two-week":[126],"period.":[127],"Based":[128],"on":[129,154],"user":[130],"recommendations,":[131],"HIGH":[132,182,201,230],"considered":[134],"outbreak.":[136],"RESULTS:":[137],"Model":[138],"accuracy":[139],"described":[141,259],"by":[142,209,217],"Positive":[143],"Predictive":[144],"Value":[145],"(PPV),":[146],"Sensitivity,":[147],"F-score":[149],"each":[151],"class,":[152,235],"computed":[153],"test":[155],"not":[157],"previously":[158,258],"used":[159,317],"develop":[161],"For":[164,232],"predictions":[165],"made":[166],"7-8":[167,302],"weeks":[168,303],"advance,":[170],"model":[171],"PPV":[172,191],"Sensitivity":[174],"0.842":[176],"0.681,":[178],"classes.":[183,202],"The":[184,203,290],"F0.5":[185],"F3":[187],"scores":[188],"(which":[189],"combine":[190],"Sensitivity)":[193],"0.804":[195],"0.694,":[197],"overall":[204],"FARM":[205,239,244],"(as":[207],"measured":[208],"F-scores)":[210],"significantly":[212],"better":[213,246],"than":[214],"those":[215],"obtained":[216],"Decision":[218],"Tree,":[219],"Random":[220,236,250],"Forest,":[221],"Support":[222],"Vector":[223],"Machine,":[224],"Holt-Winters":[226],"methods":[227],"class.":[231],"Forest":[237,251],"obtain":[240],"comparable":[241],"results,":[242],"with":[243],"being":[245],"at":[247],"F0.5,":[248],"obtaining":[252],"higher":[254],"F3.":[255],"CONCLUSIONS:":[256],"A":[257],"has":[266],"modified":[268],"extended":[270],"build":[272],"predicting":[275],"malaria.":[276],"In":[277],"addition,":[278],"some":[279],"new":[280],"input":[281],"variables":[282],"were":[283],"used,":[284],"including":[285],"indicators":[286],"intervention":[288],"measures.":[289],"predict":[296],"High":[300],"future.":[306],"This":[307],"paper":[308],"demonstrates":[309],"our":[311],"driven":[313],"approach":[314],"can":[315],"be":[316],"different":[322],"diseases.":[323]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}