{"id":"https://openalex.org/W2783438813","doi":"https://doi.org/10.1109/bigdata.2017.8258395","title":"Toward predicting medical conditions using k-nearest neighbors","display_name":"Toward predicting medical conditions using k-nearest neighbors","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783438813","doi":"https://doi.org/10.1109/bigdata.2017.8258395","mag":"2783438813"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5069024757","display_name":"Shahab Tayeb","orcid":"https://orcid.org/0000-0002-7466-1042"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shahab Tayeb","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038325765","display_name":"Matin Pirouz","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matin Pirouz","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060683332","display_name":"Johann Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johann Sun","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039864910","display_name":"Kaylee Hall","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaylee Hall","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113965349","display_name":"Andrew Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Chang","raw_affiliation_strings":["AEOP UNITE"],"affiliations":[{"raw_affiliation_string":"AEOP UNITE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625279","display_name":"Jessica Li","orcid":"https://orcid.org/0000-0002-3523-7951"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jessica Li","raw_affiliation_strings":["RET Las Vegas, Nevada"],"affiliations":[{"raw_affiliation_string":"RET Las Vegas, Nevada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031121045","display_name":"Connor Song","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Connor Song","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065260965","display_name":"Apoorva Chauhan","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apoorva Chauhan","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075174303","display_name":"Michael Ferra","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Ferra","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020365592","display_name":"Theresa Sager","orcid":null},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theresa Sager","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544979","display_name":"Justin Zhan","orcid":"https://orcid.org/0000-0003-4210-6279"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Zhan","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112598261","display_name":"Shahram Latifi","orcid":"https://orcid.org/0000-0001-6868-5008"},"institutions":[{"id":"https://openalex.org/I133999245","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72","country_code":"US","type":"education","lineage":["https://openalex.org/I133999245"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahram Latifi","raw_affiliation_strings":["UNLV STEM, University of Nevada-Las Vegas"],"affiliations":[{"raw_affiliation_string":"UNLV STEM, University of Nevada-Las Vegas","institution_ids":["https://openalex.org/I133999245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5069024757"],"corresponding_institution_ids":["https://openalex.org/I133999245"],"apc_list":null,"apc_paid":null,"fwci":4.8168,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95068285,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3897","last_page":"3903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9997000098228455,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9832000136375427,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9776999950408936,"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/medical-diagnosis","display_name":"Medical diagnosis","score":0.7583675384521484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891053915023804},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6147520542144775},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5370122194290161},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5242536067962646},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.47499457001686096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4686063528060913},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4462512731552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4346618950366974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42606785893440247},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36694058775901794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11327469348907471},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07892701029777527}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7583675384521484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891053915023804},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6147520542144775},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5370122194290161},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5242536067962646},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.47499457001686096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4686063528060913},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4462512731552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4346618950366974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42606785893440247},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36694058775901794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11327469348907471},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07892701029777527},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309566","display_name":"University of Nevada, Las Vegas","ror":"https://ror.org/0406gha72"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1968614217","https://openalex.org/W1987063664","https://openalex.org/W2010512848","https://openalex.org/W2020873378","https://openalex.org/W2049623605","https://openalex.org/W2083780116","https://openalex.org/W2089282851","https://openalex.org/W2110659301","https://openalex.org/W2133221360","https://openalex.org/W2524018645","https://openalex.org/W2548098842","https://openalex.org/W2548466742","https://openalex.org/W2606436201","https://openalex.org/W2607060282","https://openalex.org/W2734856481","https://openalex.org/W6642678331","https://openalex.org/W6729737922"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4309637067","https://openalex.org/W1677208095"],"abstract_inverted_index":{"As":[0],"the":[1,10,26,54,70,97,114],"healthcare":[2],"industry":[3],"becomes":[4],"more":[5,48],"reliant":[6],"upon":[7],"electronic":[8],"records,":[9],"amount":[11],"of":[12,72,93,111,116],"medical":[13,43,117],"data":[14],"available":[15],"for":[16,53,60],"analysis":[17],"increases":[18],"exponentially.":[19],"While":[20],"this":[21],"information":[22],"contains":[23],"valuable":[24],"statistics,":[25],"sheer":[27],"volume":[28],"makes":[29],"it":[30,65],"difficult":[31],"to":[32,41,66,78,108,113],"analyze":[33],"without":[34],"efficient":[35],"algorithms.":[36],"By":[37],"using":[38],"machine":[39],"learning":[40],"classify":[42],"data,":[44],"diagnoses":[45],"can":[46,101],"become":[47],"efficient,":[49],"accurate,":[50],"and":[51,86],"accessible":[52],"public.":[55],"After":[56],"choosing":[57],"k-Nearest":[58],"Neighbors":[59],"its":[61],"simplicity,":[62],"we":[63],"applied":[64],"datasets":[67],"compiled":[68],"by":[69],"University":[71],"California,":[73],"Irvine":[74],"Machine":[75],"Learning":[76],"Repository":[77],"diagnose":[79],"two":[80],"conditions":[81],"-":[82,89],"chronic":[83],"kidney":[84],"failure":[85],"heart":[87],"disease":[88],"with":[90],"an":[91],"accuracy":[92],"approximately":[94],"90%.":[95],"In":[96],"future,":[98],"similar":[99],"methods":[100],"be":[102],"used":[103],"on":[104],"a":[105],"larger":[106],"scale":[107],"bring":[109],"ease":[110],"use":[112],"field":[115],"diagnostics.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}