{"id":"https://openalex.org/W4399257635","doi":"https://doi.org/10.1145/3653781.3653790","title":"Base on the Cancer Genome Atlas prognostic for grade II and III glioma","display_name":"Base on the Cancer Genome Atlas prognostic for grade II and III glioma","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4399257635","doi":"https://doi.org/10.1145/3653781.3653790"},"language":"en","primary_location":{"id":"doi:10.1145/3653781.3653790","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","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/A5005279487","display_name":"Yanfeng Li","orcid":"https://orcid.org/0009-0004-6779-3823"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["Department of Interventional vascular surgery Affiliated Hospital (Clinical College)of Xiangnan University, China"],"raw_orcid":"https://orcid.org/0009-0004-6779-3823","affiliations":[{"raw_affiliation_string":"Department of Interventional vascular surgery Affiliated Hospital (Clinical College)of Xiangnan University, China","institution_ids":["https://openalex.org/I43081956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100611748","display_name":"Hui Xie","orcid":"https://orcid.org/0000-0002-8490-1695"},"institutions":[{"id":"https://openalex.org/I43081956","display_name":"Xiangnan University","ror":"https://ror.org/05by9mg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I43081956"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xie","raw_affiliation_strings":["Department of Oncology Affiliated Hospital of Xiangnan University, China"],"raw_orcid":"https://orcid.org/0000-0002-8490-1695","affiliations":[{"raw_affiliation_string":"Department of Oncology Affiliated Hospital of Xiangnan University, China","institution_ids":["https://openalex.org/I43081956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005279487"],"corresponding_institution_ids":["https://openalex.org/I43081956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13185444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11482","display_name":"RNA modifications and cancer","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nomogram","display_name":"Nomogram","score":0.8457280397415161},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.7044376134872437},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.6665777564048767},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5813297629356384},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.5592442154884338},{"id":"https://openalex.org/keywords/hazard-ratio","display_name":"Hazard ratio","score":0.5560666918754578},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5539137125015259},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.5250805616378784},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.5187640190124512},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5053210854530334},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.4851847290992737},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4795389175415039},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4794810712337494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29479360580444336}],"concepts":[{"id":"https://openalex.org/C34626388","wikidata":"https://www.wikidata.org/wiki/Q721129","display_name":"Nomogram","level":2,"score":0.8457280397415161},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.7044376134872437},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6665777564048767},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5813297629356384},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.5592442154884338},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.5560666918754578},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5539137125015259},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.5250805616378784},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.5187640190124512},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5053210854530334},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.4851847290992737},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4795389175415039},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4794810712337494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29479360580444336},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653781.3653790","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653781.3653790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computer Vision and Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.49000000953674316,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1985749991","https://openalex.org/W2050128644","https://openalex.org/W2146836406","https://openalex.org/W2158199773","https://openalex.org/W2483064167","https://openalex.org/W2483332204","https://openalex.org/W2604565848","https://openalex.org/W2745594985","https://openalex.org/W2891704147","https://openalex.org/W2956512259","https://openalex.org/W2973142272","https://openalex.org/W2980308198","https://openalex.org/W2981575531","https://openalex.org/W3111094672","https://openalex.org/W3120719146","https://openalex.org/W3157115460","https://openalex.org/W3173834180","https://openalex.org/W4223598518","https://openalex.org/W4291128466","https://openalex.org/W4315782508","https://openalex.org/W4384341516","https://openalex.org/W4385661679","https://openalex.org/W4386408058","https://openalex.org/W4387404271","https://openalex.org/W4387965195","https://openalex.org/W4388540297","https://openalex.org/W4389199963","https://openalex.org/W4389397572","https://openalex.org/W4389505729","https://openalex.org/W4389920721"],"related_works":["https://openalex.org/W2911441101","https://openalex.org/W1970018641","https://openalex.org/W4226494765","https://openalex.org/W1993821226","https://openalex.org/W2063908487","https://openalex.org/W3014240535","https://openalex.org/W2004029742","https://openalex.org/W4233588653","https://openalex.org/W1999313618","https://openalex.org/W4387053822"],"abstract_inverted_index":{"Abstract:":[0],"Our":[1],"objective":[2],"is":[3,267],"to":[4,44],"establish":[5],"a":[6,46,54,127,143,157,174,201,239,257,279],"prognostic":[7,47],"nomogram":[8,103,265],"model":[9,50,191,266],"that":[10],"can":[11],"assist":[12],"clinical":[13,26],"professionals":[14],"in":[15,180],"making":[16],"precise":[17],"predictions":[18],"about":[19],"the":[20,32,73,87,91,95,102,107,116,120,134,150,154,161,168,181,189,218,221,232],"prognosis":[21,190,264,274],"of":[22,123,137,153,167,188,204,220,271],"glioma.":[23],"We":[24],"retrieved":[25],"data":[27],"on":[28,72,160],"glioma":[29],"patients":[30,62,155],"from":[31],"Cancer":[33],"Genome":[34],"Atlas":[35],"(TCGA)":[36],"database":[37],"and":[38,68,86,101,109,140,170,210,234,246,284],"utilized":[39,53],"Cox":[40],"proportional":[41],"hazard":[42],"analysis":[43,80,105,166],"construct":[45],"model.":[48],"For":[49],"validation,":[51],"we":[52],"bootstrap":[55,226],"resampling":[56],"method,":[57],"generating":[58],"1000":[59,225],"iterations.":[60],"The":[61,77,163,185,197],"were":[63,192],"subsequently":[64],"divided":[65],"into":[66],"high-":[67,169],"low-risk":[69,171],"categories":[70],"based":[71],"median":[74],"risk":[75],"score.":[76],"Kaplan-Meier(K-M)":[78],"survival":[79,112,165,208,214,259],"was":[81],"executed":[82],"for":[83,106,206,212,282],"both":[84],"cohorts,":[85],"model's":[88],"evaluation":[89,219],"encompassed":[90],"concordance":[92,230],"index":[93],"(C-index),":[94],"receiver":[96],"operating":[97],"characteristic":[98],"(ROC)":[99],"curve,":[100],"calibration":[104],"3-year":[108,207],"5-year":[110,213],"overall":[111],"(OS)":[113],"rates.":[114,215],"During":[115],"multivariate":[117],"regression":[118],"analysis,":[119],"age":[121,135],"group":[122,136],"60-69":[124,250],"years":[125,139,251],"demonstrated":[126],"significant":[128,144,158,175],"level":[129,145],"(P":[130,146,177],"=":[131,147,178],"0.014),":[132],"while":[133],"70":[138],"above":[141],"showed":[142],"0.022).":[148],"Additionally,":[149],"pathological":[151,243,254],"stage":[152,255],"had":[156],"impact":[159],"outcome.":[162],"K-M":[164],"cohorts":[172],"indicated":[173],"difference":[176],"0.00024)":[179],"log":[182],"rank":[183],"test.":[184],"confidence":[186],"intervals":[187],"estimated":[193],"at":[194],"0.780":[195],"(0.678-0.882).":[196],"ROC":[198],"curve":[199],"exhibited":[200,228],"coverage":[202],"area":[203],"0.746":[205],"rates":[209],"0.824":[211],"In":[216],"addition,":[217],"model,":[222],"conducted":[223],"through":[224],"samplings,":[227],"strong":[229],"between":[231,242],"predicted":[233],"actual":[235],"values.":[236],"Gliomas":[237],"exhibit":[238],"notable":[240],"association":[241],"stage,":[244],"age,":[245],"OS.":[247],"Individuals":[248],"aged":[249],"with":[252],"high":[253],"experience":[256],"lower":[258],"rate.":[260],"Furthermore,":[261],"our":[262],"developed":[263],"not":[268],"only":[269],"capable":[270],"accurately":[272],"predicting":[273],"but":[275],"also":[276],"serves":[277],"as":[278],"valuable":[280],"tool":[281],"diagnosis":[283],"treatment":[285],"decisions.":[286]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}