{"id":"https://openalex.org/W4296782711","doi":"https://doi.org/10.1142/s0218126623500883","title":"Prediction Model of Ischemic Stroke Based on Machine Learning","display_name":"Prediction Model of Ischemic Stroke Based on Machine Learning","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4296782711","doi":"https://doi.org/10.1142/s0218126623500883"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623500883","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500883","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5100332495","display_name":"Zhijie Zhang","orcid":"https://orcid.org/0000-0002-5262-7783"},"institutions":[{"id":"https://openalex.org/I154833797","display_name":"Lingnan Normal University","ror":"https://ror.org/01h6ecw13","country_code":"CN","type":"education","lineage":["https://openalex.org/I154833797"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijie Zhang","raw_affiliation_strings":["School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5262-7783","affiliations":[{"raw_affiliation_string":"School of Computer Science and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, P. R. China","institution_ids":["https://openalex.org/I154833797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101607483","display_name":"Zhihong Zou","orcid":"https://orcid.org/0000-0003-4828-3145"},"institutions":[{"id":"https://openalex.org/I4210160314","display_name":"Shenzhen Pingle Orthopedic Hospital","ror":"https://ror.org/04ppv2c95","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160314"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Zou","raw_affiliation_strings":["Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, P. R. China","institution_ids":["https://openalex.org/I4210160314"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100332495"],"corresponding_institution_ids":["https://openalex.org/I154833797"],"apc_list":null,"apc_paid":null,"fwci":0.1312,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52790437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9991000294685364,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9986000061035156,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.991599977016449,"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/stroke","display_name":"Stroke (engine)","score":0.7111960649490356},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.6780343055725098},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5971816778182983},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5709271430969238},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.520193338394165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49125903844833374},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46777287125587463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45177334547042847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4053853154182434},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1704939305782318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1350245475769043}],"concepts":[{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.7111960649490356},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.6780343055725098},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5971816778182983},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5709271430969238},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.520193338394165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49125903844833374},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46777287125587463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45177334547042847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4053853154182434},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1704939305782318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1350245475769043},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623500883","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500883","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1966628631","https://openalex.org/W2026131661","https://openalex.org/W2111072639","https://openalex.org/W2132129910","https://openalex.org/W2424256488","https://openalex.org/W2488953036","https://openalex.org/W2519564115","https://openalex.org/W2603014491","https://openalex.org/W2767129117","https://openalex.org/W2775545376","https://openalex.org/W2797161868","https://openalex.org/W2802604206","https://openalex.org/W2804928435","https://openalex.org/W2900621847","https://openalex.org/W2918369972","https://openalex.org/W2936345884","https://openalex.org/W2944465249","https://openalex.org/W2955252073","https://openalex.org/W2959304487","https://openalex.org/W2964264377","https://openalex.org/W3000065748","https://openalex.org/W3005127469","https://openalex.org/W3033846845","https://openalex.org/W3112995715","https://openalex.org/W3131058205","https://openalex.org/W3133364434","https://openalex.org/W3159132848","https://openalex.org/W3213390689","https://openalex.org/W3216631535","https://openalex.org/W4285718754"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Machine":[0],"learning":[1,106],"(ML)":[2],"can":[3,142,159],"be":[4],"used":[5,21],"for":[6],"deep":[7],"mining":[8],"and":[9,25,46,72,86,104,124,144,158],"analysis":[10,102],"of":[11,44,56,112,138,152,163,182],"multidimensional":[12],"medical":[13,23],"data.":[14],"At":[15],"present,":[16],"it":[17],"has":[18,167,175],"been":[19],"widely":[20],"in":[22,170,179],"diagnosis":[24],"prognosis":[26],"prediction.":[27],"This":[28,140,173],"paper":[29,174],"aims":[30],"to":[31,63,66],"make":[32],"the":[33,54,136,147,150,156,161,180],"existing":[34],"research":[35,181],"no":[36],"longer":[37],"focus":[38],"on":[39],"identifying":[40],"key":[41],"risk":[42,49,94],"factors":[43,133,148],"stroke,":[45],"predict":[47,160],"stroke":[48,93],"more":[50],"accurately.":[51],"We":[52],"collected":[53],"data":[55,90],"3,962":[57],"cerebral":[58,153,164],"apoplexy":[59,154],"patients":[60],"from":[61,155],"2019":[62],"2020,":[64],"according":[65],"gender":[67],"(male:":[68],"2,613;":[69],"female:":[70],"1,349)":[71],"age":[73],"(16\u201340":[74],"years":[75,78,81,84],"old;":[76,79,82],"41\u201354":[77],"55\u201369":[80],"70":[83],"old":[85],"above)":[87],"layered.":[88],"After":[89],"preprocessing,":[91],"a":[92],"prediction":[95,110],"model":[96],"was":[97,114],"built":[98],"using":[99],"principal":[100],"component":[101],"(PCA)":[103],"extreme":[105],"institutions":[107],"(ELM).":[108],"The":[109],"accuracy":[111],"PCA-ELM":[113],"as":[115,117,130],"high":[116,125,168],"97%.":[118],"In":[119],"this":[120],"model,":[121],"total":[122],"cholesterol":[123],"density":[126],"lipoprotein":[127],"are":[128],"taken":[129],"10":[131],"important":[132],"that":[134],"affect":[135],"incidence":[137,151,162],"stroke.":[139],"method":[141],"timely":[143],"efficiently":[145],"mine":[146],"influencing":[149],"data,":[157],"apoplexy.":[165],"It":[166],"value":[169,178],"practical":[171],"application.":[172],"great":[176],"reference":[177],"brain":[183],"death.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}