{"id":"https://openalex.org/W2408605238","doi":"https://doi.org/10.3233/978-1-61499-101-4-275","title":"Coupling K-nearest Neighbors with Logistic Regression in Case-based Reasoning","display_name":"Coupling K-nearest Neighbors with Logistic Regression in Case-based Reasoning","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2408605238","doi":"https://doi.org/10.3233/978-1-61499-101-4-275","mag":"2408605238","pmid":"https://pubmed.ncbi.nlm.nih.gov/22874195"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-101-4-275","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-101-4-275","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5082155887","display_name":"Boris Campillo\u2010Gimenez","orcid":"https://orcid.org/0000-0002-2329-5265"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Campillo-Gimenez Boris","raw_affiliation_strings":["Facult\u00e9 de m\u00e9decine, Universit\u00e9 rennes 1, Rennes Cedex 9, France. boriscampillo@gmail.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 de m\u00e9decine, Universit\u00e9 rennes 1, Rennes Cedex 9, France. boriscampillo@gmail.com","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006462902","display_name":"Sahar Bayat","orcid":"https://orcid.org/0000-0002-2066-183X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bayat Sahar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048180788","display_name":"Marc Cuggia","orcid":"https://orcid.org/0000-0001-6943-3937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cuggia Marc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3173,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6276637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"180","issue":null,"first_page":"275","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9993000030517578,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9847999811172485,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.983299970626831,"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/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6999518871307373},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.6665130853652954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.646450400352478},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6256431341171265},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6144868731498718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5469862818717957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5164551734924316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37698256969451904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35311704874038696}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6999518871307373},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.6665130853652954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.646450400352478},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6256431341171265},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6144868731498718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5469862818717957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5164551734924316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37698256969451904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35311704874038696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016022","descriptor_name":"Case-Control Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-101-4-275","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-101-4-275","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:22874195","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22874195","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W138736950","https://openalex.org/W1525830085","https://openalex.org/W1563342830","https://openalex.org/W1981880861","https://openalex.org/W2044398512","https://openalex.org/W2115460094","https://openalex.org/W2126385963","https://openalex.org/W2319777021"],"related_works":["https://openalex.org/W2129863591","https://openalex.org/W2147669324","https://openalex.org/W1596769710","https://openalex.org/W2375480909","https://openalex.org/W2923497059","https://openalex.org/W2353314428","https://openalex.org/W2124362004","https://openalex.org/W4241659607","https://openalex.org/W4362499272","https://openalex.org/W2937567451"],"abstract_inverted_index":{"Case-based":[0],"reasoning":[1],"(CBR)":[2],"systems":[3,23],"use":[4],"similarity":[5],"functions":[6],"to":[7,24,30,48,71,110,117],"solve":[8],"new":[9,26,39],"problems":[10],"with":[11,46,95],"past":[12,33],"situations.":[13],"K-nearest":[14],"neighbors":[15],"algorithm":[16],"(K-NN)":[17],"have":[18],"been":[19],"used":[20,70,109],"in":[21],"CBR":[22,50,119],"define":[25,72],"cases":[27],"status":[28],"according":[29],"characteristics":[31],"of":[32,65,75,87,114],"nearest":[34],"cases.":[35],"We":[36],"proposed":[37],"a":[38],"hybrid":[40],"approach":[41],"combining":[42],"logistic":[43],"regression":[44],"(LR)":[45],"K-NN":[47,115],"optimize":[49,111],"classification.":[51,120],"First,":[52],"we":[53,82],"analyzed":[54],"the":[55,62,66,76,84,101,105,112],"knowledge":[56,77],"database":[57,78],"by":[58,104],"LR":[59,67,88],"procedures":[60],"and":[61,90,116],"Pearson":[63],"residuals":[64,106],"model":[68,89],"were":[69],"cases'":[73],"utility":[74],"into":[79],"K-NN.":[80],"Secondly,":[81],"compared":[83],"classification":[85],"performances":[86],"K-NNs":[91],"coupled":[92],"or":[93],"not":[94],"LR.":[96],"Our":[97],"results":[98],"showed":[99],"that":[100],"information":[102],"provided":[103],"could":[107],"be":[108],"settings":[113],"improve":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
