{"id":"https://openalex.org/W4405306204","doi":"https://doi.org/10.1109/icis61260.2024.10778365","title":"Prediction of Stroke Hematoma Expansion Using a Machine Learning Model with Stacked Generalization","display_name":"Prediction of Stroke Hematoma Expansion Using a Machine Learning Model with Stacked Generalization","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4405306204","doi":"https://doi.org/10.1109/icis61260.2024.10778365"},"language":"en","primary_location":{"id":"doi:10.1109/icis61260.2024.10778365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","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/A5101712861","display_name":"Zhongzheng Xiang","orcid":"https://orcid.org/0000-0002-4893-7084"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhicheng Xiang","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076585971","display_name":"Shaojing Song","orcid":"https://orcid.org/0000-0002-1194-6390"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojing Song","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027028581","display_name":"X. Li","orcid":"https://orcid.org/0009-0009-2914-9160"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Li","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100522988","display_name":"Fan Wu","orcid":"https://orcid.org/0009-0005-6059-4722"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004554","display_name":"Bohao Li","orcid":"https://orcid.org/0000-0001-7354-2116"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohao Li","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070351286","display_name":"Qinying Wu","orcid":"https://orcid.org/0009-0008-3125-3680"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinying Wu","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101712861"],"corresponding_institution_ids":["https://openalex.org/I135905480"],"apc_list":null,"apc_paid":null,"fwci":0.4094,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69440175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9496999979019165,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.9136999845504761,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6705667972564697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033472418785095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505933940410614},{"id":"https://openalex.org/keywords/hematoma","display_name":"Hematoma","score":0.46710434556007385},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.42580947279930115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40902113914489746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1664755940437317},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16111257672309875},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.14310139417648315},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13822531700134277},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.08739495277404785},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08165284991264343}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6705667972564697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033472418785095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505933940410614},{"id":"https://openalex.org/C2779662492","wikidata":"https://www.wikidata.org/wiki/Q468787","display_name":"Hematoma","level":2,"score":0.46710434556007385},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.42580947279930115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40902113914489746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1664755940437317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16111257672309875},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.14310139417648315},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13822531700134277},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.08739495277404785},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08165284991264343}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis61260.2024.10778365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","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":9,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1538189649","https://openalex.org/W2116504089","https://openalex.org/W2898390833","https://openalex.org/W3087798270","https://openalex.org/W3106963248","https://openalex.org/W4220665367","https://openalex.org/W4220865630","https://openalex.org/W4286491155"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Hemorrhagic":[0],"stroke":[1],"is":[2],"a":[3,14,128],"prevalent":[4],"global":[5],"disease.":[6],"Following":[7],"hemorrhagic":[8],"stroke,":[9],"hematoma":[10,24,160],"expansion":[11,25,161],"emerges":[12],"as":[13],"crucial":[15],"prognostic":[16],"risk":[17],"factor.":[18],"Currently,":[19],"most":[20],"prediction":[21],"models":[22,94,141],"for":[23,47],"rely":[26],"on":[27,122],"traditional":[28],"machine":[29,36],"learning":[30,37],"algorithms":[31,38],"[1].":[32],"However,":[33],"these":[34],"standalone":[35],"often":[39],"struggle":[40],"to":[41,78],"meet":[42],"the":[43,80,84,138,147],"desired":[44],"accuracy":[45],"levels":[46],"prediction.":[48],"Additionally,":[49],"public":[50],"sample":[51,68],"data":[52],"frequently":[53],"exhibit":[54],"imbalanced":[55,67],"characteristics,":[56],"posing":[57],"challenges":[58],"during":[59],"model":[60,131,149],"training.":[61],"To":[62],"address":[63],"this":[64,70],"issue":[65],"of":[66],"data,":[69],"study":[71],"employs":[72],"Synthetic":[73],"Minority":[74],"Over-sampling":[75],"Technique":[76],"(SMOTE)":[77],"oversample":[79],"minority":[81],"samples":[82],"within":[83],"dataset":[85],"and":[86,110,118,136],"generate":[87],"more":[88],"representative":[89],"instances":[90],"[2].":[91],"Subsequently,":[92],"multiple":[93],"including":[95],"Logistic":[96],"Regression":[97],"(LR),":[98],"Support":[99],"Vector":[100],"Classifier":[101],"(SVC),":[102],"Extreme":[103],"Gradient":[104,112],"Boosting":[105,113],"(XGB),":[106],"Multi-Layer":[107],"Perceptron":[108],"(MLP),":[109],"Light":[111],"Machine":[114],"(LGBM)":[115],"are":[116],"trained":[117],"evaluated":[119],"accordingly.":[120],"Based":[121],"comprehensive":[123],"evaluation":[124],"results,":[125],"we":[126],"propose":[127],"stacked":[129,151],"generalization-based":[130],"fusion":[132],"approach":[133],"that":[134,146],"combines":[135],"stacks":[137],"aforementioned":[139],"five":[140],"together.":[142],"The":[143],"findings":[144],"demonstrate":[145],"fused":[148],"after":[150],"generalization":[152],"exhibits":[153],"superior":[154],"predictive":[155],"performance":[156],"by":[157],"accurately":[158],"forecasting":[159],"among":[162],"patients\u2014a":[163],"significant":[164],"contribution":[165],"towards":[166],"enhancing":[167],"patient":[168],"prognosis.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}