{"id":"https://openalex.org/W4392644768","doi":"https://doi.org/10.3390/computation12030055","title":"Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques","display_name":"Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques","publication_year":2024,"publication_date":"2024-03-09","ids":{"openalex":"https://openalex.org/W4392644768","doi":"https://doi.org/10.3390/computation12030055"},"language":"en","primary_location":{"id":"doi:10.3390/computation12030055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12030055","pdf_url":"https://www.mdpi.com/2079-3197/12/3/55/pdf?version=1709968592","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/12/3/55/pdf?version=1709968592","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103164727","display_name":"Nisa Boukichou-Abdelkader","orcid":"https://orcid.org/0000-0002-7427-531X"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210139648","display_name":"Center for Biomedical Research of La Rioja","ror":"https://ror.org/03vfjzd38","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210139648"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nisa Boukichou-Abdelkader","raw_affiliation_strings":["Data Science Unit, Health Innovation of La Rioja, Rioja Health Foundation, CIBIR, 26006 Logro\u00f1o, Spain","School of Doctorate in Sciences, Technologies and Engineering, University of Granada, 18012 Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-7427-531X","affiliations":[{"raw_affiliation_string":"Data Science Unit, Health Innovation of La Rioja, Rioja Health Foundation, CIBIR, 26006 Logro\u00f1o, Spain","institution_ids":["https://openalex.org/I4210139648"]},{"raw_affiliation_string":"School of Doctorate in Sciences, Technologies and Engineering, University of Granada, 18012 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050460068","display_name":"Miguel \u00c1ngel Montero Alonso","orcid":"https://orcid.org/0000-0002-1214-9035"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Miguel \u00c1ngel Montero-Alonso","raw_affiliation_strings":["Department of Statistic and Operational Research, University of Granada, 18016 Granada, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1214-9035","affiliations":[{"raw_affiliation_string":"Department of Statistic and Operational Research, University of Granada, 18016 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080220778","display_name":"Alberto Mu\u00f1oz-Garc\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Mu\u00f1oz-Garc\u00eda","raw_affiliation_strings":["Department of Statistic, University Carlos III of Madrid, 28903 Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistic, University Carlos III of Madrid, 28903 Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050460068"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.1767,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41975576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"3","first_page":"55","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9107000231742859,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7823745012283325},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6875787973403931},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6661543250083923},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5236810445785522},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4154942035675049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41422486305236816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.384905606508255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3803066611289978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3689038157463074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35939905047416687},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1795697808265686},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1013742983341217},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.05519348382949829}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7823745012283325},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6875787973403931},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6661543250083923},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5236810445785522},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4154942035675049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41422486305236816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.384905606508255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3803066611289978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3689038157463074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35939905047416687},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1795697808265686},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1013742983341217},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.05519348382949829},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/computation12030055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12030055","pdf_url":"https://www.mdpi.com/2079-3197/12/3/55/pdf?version=1709968592","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:digibug.ugr.es:10481/92094","is_oa":true,"landing_page_url":"https://hdl.handle.net/10481/92094","pdf_url":"https://digibug.ugr.es/bitstream/10481/92094/1/computation-12-00055.pdf","source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:a75e0254eee0407782faa7cf33c7e644","is_oa":true,"landing_page_url":"https://doaj.org/article/a75e0254eee0407782faa7cf33c7e644","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 12, Iss 3, p 55 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computation12030055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12030055","pdf_url":"https://www.mdpi.com/2079-3197/12/3/55/pdf?version=1709968592","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4392644768.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1993958608","https://openalex.org/W2011430124","https://openalex.org/W2046241882","https://openalex.org/W2059694594","https://openalex.org/W2147339185","https://openalex.org/W2165086994","https://openalex.org/W2243658696","https://openalex.org/W2793843194","https://openalex.org/W2962840324","https://openalex.org/W2973353271","https://openalex.org/W2997405657","https://openalex.org/W2998089124","https://openalex.org/W3006653589","https://openalex.org/W3050563952","https://openalex.org/W3087019468","https://openalex.org/W3110193200","https://openalex.org/W3176385920","https://openalex.org/W3193404767","https://openalex.org/W3194099981","https://openalex.org/W3198101742","https://openalex.org/W3207919063","https://openalex.org/W4200555798","https://openalex.org/W4213425022","https://openalex.org/W4302317488","https://openalex.org/W4399538195","https://openalex.org/W4399570248","https://openalex.org/W6845608854"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W4318262572","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4243682621","https://openalex.org/W2036849593"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"methods":[2,121],"and":[3,34,49,71,88,129,208,228],"algorithms":[4],"have":[5],"been":[6,28],"developed":[7],"that":[8,181,231],"can":[9,57,182,235],"be":[10,177,183,236],"quickly":[11],"adapted":[12,51],"to":[13,37,44,52,85,104,138,153,176,197,212,223],"different":[14,186],"situations":[15,187],"within":[16],"a":[17,178,221],"population":[18],"of":[19,62,81,107,111,165],"interest,":[20],"especially":[21],"in":[22,123,185,216,238],"the":[23,73,79,93,97,105,140,144,155,158,163,166,199,217,225,232],"health":[24,66],"sector.":[25],"Success":[26],"has":[27],"achieved":[29],"by":[30],"generating":[31],"better":[32],"models":[33,56,211],"higher-quality":[35],"results":[36,156,234],"facilitate":[38],"decision":[39],"making,":[40],"as":[41,43,135,150],"well":[42],"propose":[45],"new":[46],"diagnostic":[47],"procedures":[48],"treatments":[50],"each":[53],"patient.":[54],"These":[55],"also":[58],"improve":[59],"people\u2019s":[60],"quality":[61],"life,":[63],"dissuade":[64],"bad":[65],"habits,":[67,70],"reinforce":[68],"good":[69],"modify":[72],"pre-existing":[74],"ones.":[75],"In":[76,169],"this":[77,82,124,171],"sense,":[78],"objective":[80],"study":[83,125],"was":[84,96,174,194],"apply":[86,209],"supervised":[87,119],"unsupervised":[89],"classification":[90,120,210],"techniques,":[91],"where":[92],"clustering":[94],"algorithm":[95],"key":[98],"factor":[99],"for":[100,157,205,214],"grouping.":[101],"This":[102],"led":[103],"development":[106],"three":[108],"optimal":[109],"groups":[110],"clinical":[112,218,233],"pattern":[113],"based":[114],"on":[115],"their":[116],"characteristics.":[117],"The":[118],"used":[122,149,184],"were":[126,148],"Correspondence":[127],"(CA)":[128],"Decision":[130],"Trees":[131],"(DT),":[132],"which":[133,161],"served":[134],"visual":[136],"aids":[137],"identify":[139],"possible":[141],"groups.":[142],"At":[143],"same":[145],"time,":[146],"they":[147],"exploratory":[151],"mechanisms":[152],"confirm":[154],"existing":[159],"information,":[160,207],"enhanced":[162],"value":[164],"final":[167],"results.":[168],"conclusion,":[170],"multi-technique":[172],"approach":[173],"found":[175],"feasible":[179],"method":[180],"when":[188],"there":[189],"are":[190],"sufficient":[191],"data.":[192],"It":[193],"thus":[195],"necessary":[196],"reduce":[198],"dimensional":[200],"space,":[201],"provide":[202],"missing":[203],"values":[204],"high-quality":[206],"search":[213],"patterns":[215],"profiles,":[219],"with":[220],"view":[222],"grouping":[224],"patients":[226],"efficiently":[227],"accurately":[229],"so":[230],"applied":[237],"other":[239],"research":[240],"studies.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}