{"id":"https://openalex.org/W4408258292","doi":"https://doi.org/10.1109/tencon61640.2024.10902802","title":"Exploratory Data Analysis for Brain Stroke Prediction Using Multiple Regression Models","display_name":"Exploratory Data Analysis for Brain Stroke Prediction Using Multiple Regression Models","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4408258292","doi":"https://doi.org/10.1109/tencon61640.2024.10902802"},"language":"en","primary_location":{"id":"doi:10.1109/tencon61640.2024.10902802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10902802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","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/A5092165686","display_name":"Eunice Doctolero","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Elaine Mae Doctolero","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Elyssa Kristine Espinosa","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Elyssa Kristine Espinosa","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116291766","display_name":"Juliana Joie G. Gianan","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Juliana Joie Gianan","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088576344","display_name":"Marielet Guillermo","orcid":"https://orcid.org/0000-0002-2037-9236"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Marielet Guillermo","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037300836","display_name":"Claire Receli M. Re\u00f1osa","orcid":"https://orcid.org/0009-0001-2656-7342"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Claire Receli Re\u00f1osa","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009028017","display_name":"Arvin H. Fernando","orcid":"https://orcid.org/0000-0002-0467-8551"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Arvin Fernando","raw_affiliation_strings":["De La Salle University,Department of Mechanical Engineering,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Mechanical Engineering,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043936777","display_name":"Rhen Anjerome Bedruz","orcid":"https://orcid.org/0000-0002-6318-0411"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Rhen Anjerome Bedruz","raw_affiliation_strings":["De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29884308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.982699990272522,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9801999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544919610023499},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5832244157791138},{"id":"https://openalex.org/keywords/exploratory-analysis","display_name":"Exploratory analysis","score":0.47512203454971313},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46791961789131165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4647983908653259},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.4611099064350128},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4523601531982422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3377619981765747},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23850011825561523},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.1942656934261322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11321184039115906},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0728614330291748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544919610023499},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5832244157791138},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.47512203454971313},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46791961789131165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4647983908653259},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.4611099064350128},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4523601531982422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3377619981765747},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23850011825561523},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.1942656934261322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11321184039115906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0728614330291748},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon61640.2024.10902802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon61640.2024.10902802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2899740939","https://openalex.org/W2908423153","https://openalex.org/W2945246948","https://openalex.org/W3021458292","https://openalex.org/W3046111136","https://openalex.org/W3117630153","https://openalex.org/W3123859422","https://openalex.org/W4236941632","https://openalex.org/W4310009644","https://openalex.org/W4362496330","https://openalex.org/W4379620157","https://openalex.org/W4381195462","https://openalex.org/W4385679789","https://openalex.org/W4386427012","https://openalex.org/W4391023896","https://openalex.org/W4392945935"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Stroke":[0],"has":[1],"been":[2],"one":[3],"of":[4,8,23,86,102],"the":[5,21,82,99],"leading":[6],"causes":[7],"death.":[9],"Recognizing":[10],"its":[11,17,24],"warning":[12],"signs":[13],"early":[14],"can":[15,37],"lessen":[16],"severity":[18],"and":[19,65,78,89],"maximize":[20],"effectiveness":[22],"prevention.":[25],"A":[26],"highly":[27],"effective":[28],"data-driven":[29],"predictive":[30],"algorithm":[31],"is":[32],"needed":[33],"for":[34,70],"this,":[35],"which":[36],"be":[38],"done":[39],"through":[40,91],"various":[41],"machine":[42],"learning-based":[43],"techniques.":[44],"In":[45],"this":[46],"paper,":[47],"Linear":[48],"Support":[49,54],"Vector":[50,55],"Machines":[51,56],"(linear-SVM),":[52],"Radial":[53],"(rbf-SVM),":[57],"Logistic":[58,79],"Regression,":[59],"Decision":[60],"Tree,":[61],"Gaussian":[62],"Naive":[63],"Bayes,":[64],"Random":[66],"Forests":[67],"were":[68,93],"used":[69],"stroke":[71],"prediction.":[72,104],"Among":[73],"these":[74],"models,":[75],"linear-SVM,":[76],"rbf-SVM,":[77],"Regression":[80],"yielded":[81],"highest":[83],"accuracy":[84],"value":[85],"95%.":[87],"Cross-validation":[88],"boosting":[90],"ensembling":[92],"also":[94],"conducted":[95],"to":[96],"further":[97],"enhance":[98],"overall":[100],"confidence":[101],"model":[103]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}