{"id":"https://openalex.org/W3160936102","doi":"https://doi.org/10.1109/uv50937.2020.9426200","title":"Based on Machine Learning Algorithm: Construction of an Early Prediction Model of Integrated Traditional Chinese and Western Medicine for Cognitive Impairment after Ischemic Stroke","display_name":"Based on Machine Learning Algorithm: Construction of an Early Prediction Model of Integrated Traditional Chinese and Western Medicine for Cognitive Impairment after Ischemic Stroke","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3160936102","doi":"https://doi.org/10.1109/uv50937.2020.9426200","mag":"3160936102"},"language":"en","primary_location":{"id":"doi:10.1109/uv50937.2020.9426200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv50937.2020.9426200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Universal Village (UV)","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/A5003409831","display_name":"Xinhao Chen","orcid":"https://orcid.org/0009-0007-7381-4127"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhao Chen","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083508772","display_name":"Chengxia Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxia Wei","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091136789","display_name":"Wuhui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuhui Wu","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012623704","display_name":"Lizhen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Guo","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905932","display_name":"Chengyuan Liu","orcid":"https://orcid.org/0000-0001-5837-8063"},"institutions":[{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyuan Liu","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110365261","display_name":"Gendi Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149132","display_name":"Shuguang Hospital","ror":"https://ror.org/03n35e656","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149132"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]},{"id":"https://openalex.org/I4210098460","display_name":"Shanghai University of Traditional Chinese Medicine","ror":"https://ror.org/00z27jk27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210098460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gendi Lu","raw_affiliation_strings":["Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China","institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003409831"],"corresponding_institution_ids":["https://openalex.org/I113940042","https://openalex.org/I4210098460","https://openalex.org/I4210149132"],"apc_list":null,"apc_paid":null,"fwci":0.1834,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5618519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14144","display_name":"Neurological Disease Mechanisms and Treatments","score":0.9990000128746033,"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/T14144","display_name":"Neurological Disease Mechanisms and Treatments","score":0.9990000128746033,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.992900013923645,"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/T13796","display_name":"Neurological Disorders and Treatments","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6292999982833862},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.609085738658905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5901290774345398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519235134124756},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5486116409301758},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5120161175727844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5003256797790527},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.45168739557266235},{"id":"https://openalex.org/keywords/ischemic-stroke","display_name":"Ischemic stroke","score":0.4290749430656433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4081629514694214},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3431076407432556},{"id":"https://openalex.org/keywords/ischemia","display_name":"Ischemia","score":0.10301673412322998}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6292999982833862},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.609085738658905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5901290774345398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519235134124756},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5486116409301758},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5120161175727844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5003256797790527},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.45168739557266235},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.4290749430656433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4081629514694214},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3431076407432556},{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.10301673412322998}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uv50937.2020.9426200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uv50937.2020.9426200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Universal Village (UV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W43735165","https://openalex.org/W2019577358","https://openalex.org/W2148097828","https://openalex.org/W2483863689","https://openalex.org/W2744103888","https://openalex.org/W2754967293","https://openalex.org/W2800452457","https://openalex.org/W2893462288","https://openalex.org/W2916892496","https://openalex.org/W2983521089","https://openalex.org/W2989079813","https://openalex.org/W6601808611"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645","https://openalex.org/W4366990902","https://openalex.org/W4388550696","https://openalex.org/W4224922629","https://openalex.org/W4321636153","https://openalex.org/W4313289487"],"abstract_inverted_index":{"Purpose:":[0],"Based":[1,246],"on":[2,68,247],"the":[3,13,77,126,135,153,157,170,173,190,196,203,206,210,219,222,273,277,295,303,319,334],"risk":[4,127],"factors":[5,336],"of":[6,17,24,55,79,81,87,130,143,156,165,180,189,205,212,225,276,297,305,323,354,372],"post":[7],"stroke":[8,57,74],"cognitive":[9,132,306,327,373],"impairment":[10,307,328,374],"(PSCI),":[11],"combining":[12],"Constitution":[14],"and":[15,37,46,52,61,91,134,138,172,195,263,282,291,332,351,361],"Syndrome":[16],"Traditional":[18,89],"Chinese":[19,90],"Medicine,":[20],"using":[21],"a":[22,31,82,85,367],"variety":[23],"Machine":[25,110],"learning":[26,300],"(ML)":[27],"algorithms,":[28,194],"to":[29,43,76,98,124,151,302,317,344,358],"construct":[30,125,318,366],"prediction":[32,128,136,154,163,197,274,304,321,370],"model":[33,129,322,371],"with":[34,71,221,279,337,340],"high":[35],"accuracy":[36,137,164,275],"good":[38],"fitting":[39],"degree,":[40],"so":[41,342,356],"as":[42,234,343,357],"provide":[44,359],"theoretical":[45],"data":[47,231],"support":[48],"for":[49,227,326,363],"early":[50,53,320,347,349,352],"screening":[51],"prevention":[54],"ischemic":[56,73,309,330,376],"(IS)":[58],"patients.":[59],"Patients":[60],"methods:":[62],"A":[63],"retrospective":[64],"analysis":[65],"was":[66,167,182,185,199,270],"conducted":[67],"85":[69,261,280],"patients":[70,102],"acute":[72],"admitted":[75],"Department":[78],"Neurology":[80],"third":[83],"grade":[84],"hospital":[86],"integrated":[88],"Western":[92],"Medicine":[93],"(TCM-WM)":[94],"from":[95,209],"June":[96],"2019":[97],"January":[99],"2020.":[100],"The":[101,161,176,312],"were":[103,122,149,253],"divided":[104],"into":[105],"three":[106,158,192],"groups:":[107],"Support":[108],"Vector":[109],"(SVM),":[111],"Random":[112],"Forest":[113],"(RF),":[114],"Gradient":[115],"Boosting":[116],"Decision":[117],"Tree":[118],"(GBDT),":[119],"ML":[120,193,313],"algorithms":[121],"used":[123,150,316],"post-stroke":[131],"impairment,":[133],"area":[139,179],"under":[140],"curve":[141,147],"(AUC)":[142],"receiver":[144],"operating":[145],"characteristic":[146],"(ROC)":[148],"evaluate":[152],"effect":[155,198],"models.":[159],"Results:":[160],"average":[162,177],"GBDT":[166,181,213,248,251],"80.77":[168],"percent,":[169,258,260,293],"highest":[171,223],"most":[174],"stable.":[175],"AUC":[178],"0.85,":[183],"which":[184],"larger":[186],"than":[187],"that":[188,218,272],"other":[191],"better.":[200],"After":[201],"analyzing":[202],"importance":[204],"features":[207,220],"obtained":[208,254],"training":[211,256,266,285],"model,":[214],"it":[215],"is":[216,315],"concluded":[217],"degree":[224],"discrimination":[226],"PSCI":[228],"in":[229],"this":[230],"set":[232],"are":[233],"follows:":[235],"Barthel":[236],"index,":[237],"Age,":[238],"fasting":[239],"blood":[240,243],"glucose":[241],"(FPG),":[242],"homocysteine":[244],"(Hcy).":[245],"algorithm,":[249],"four":[250],"models":[252,278],"by":[255],"75":[257],"80":[259],"percent":[262,265,281,284,290],"90":[264,283],"sets":[267,286],"respectively.":[268],"It":[269],"found":[271],"could":[287],"reach":[288],"84.62":[289],"88.89":[292],"indicating":[294],"potential":[296],"applying":[298],"machine":[299],"algorithm":[301,314],"after":[308,329,375],"stroke.":[310,377],"Conclusion:":[311],"TCM-WM":[324],"integration":[325],"stroke,":[331],"analyze":[333],"influencing":[335],"strong":[338],"correlation":[339],"PSCI,":[341,355],"carry":[345],"out":[346],"detection,":[348],"diagnosis":[350],"treatment":[353],"basis":[360],"reference":[362],"researchers":[364],"who":[365],"large":[368],"sample":[369]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
