{"id":"https://openalex.org/W4252234459","doi":"https://doi.org/10.21203/rs.3.rs-73446/v1","title":"Establishment of prediction models for lung cancer NOG/PDX models: A guideline for machine learning in small biomedical datasets","display_name":"Establishment of prediction models for lung cancer NOG/PDX models: A guideline for machine learning in small biomedical datasets","publication_year":2020,"publication_date":"2020-09-16","ids":{"openalex":"https://openalex.org/W4252234459","doi":"https://doi.org/10.21203/rs.3.rs-73446/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-73446/v1","doi":"https://doi.org/10.21203/rs.3.rs-73446/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-73446/v1","pdf_url":"https://www.researchsquare.com/article/rs-73446/v1.pdf?c=1602644456000","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-73446/v1.pdf?c=1602644456000","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057361433","display_name":"Haoyue Guo","orcid":"https://orcid.org/0000-0003-3477-9203","observed_orcids":["https://orcid.org/0000-0003-3477-9203"]},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210127126","display_name":"Shanghai Pulmonary Hospital","ror":"https://ror.org/033nbnf69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyue Guo","raw_affiliation_strings":["Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No 507 Zhengmin Road, Shanghai 200433, China. School of Medicine, Tongji University, No 1239 Siping Road,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No 507 Zhengmin Road, Shanghai 200433, China. School of Medicine, Tongji University, No 1239 Siping Road,","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210127126"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Diao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Diao","raw_affiliation_strings":["Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, No 800 Dongchuan Road, Shanghai 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, No 800 Dongchuan Road, Shanghai 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027188573","display_name":"Hui Qi","orcid":"https://orcid.org/0009-0007-9934-7096","observed_orcids":["https://orcid.org/0009-0007-9934-7096"]},"institutions":[{"id":"https://openalex.org/I2799321762","display_name":"WuXi AppTec (China)","ror":"https://ror.org/04eh3ca90","country_code":"CN","type":"company","lineage":["https://openalex.org/I2799321762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Qi","raw_affiliation_strings":["Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China","institution_ids":["https://openalex.org/I2799321762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102394436","display_name":"Chunlei Dai","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799321762","display_name":"WuXi AppTec (China)","ror":"https://ror.org/04eh3ca90","country_code":"CN","type":"company","lineage":["https://openalex.org/I2799321762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Dai","raw_affiliation_strings":["Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China","institution_ids":["https://openalex.org/I2799321762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401992","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0002-0171-3884","observed_orcids":["https://orcid.org/0000-0002-0171-3884"]},"institutions":[{"id":"https://openalex.org/I4210099558","display_name":"Shanghai Changzheng Hospital","ror":"https://ror.org/0103dxn66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210099558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["Spine center, Orthopedic department, Shanghai Changzheng Hospital, No 415, Fengyang Road, Shanghai 200003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spine center, Orthopedic department, Shanghai Changzheng Hospital, No 415, Fengyang Road, Shanghai 200003, China","institution_ids":["https://openalex.org/I4210099558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047428996","display_name":"Xuzhen Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799321762","display_name":"WuXi AppTec (China)","ror":"https://ror.org/04eh3ca90","country_code":"CN","type":"company","lineage":["https://openalex.org/I2799321762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuzhen Tang","raw_affiliation_strings":["Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oncology and immunology BU, Research service division, WuXi Apptec, Shanghai 200131, China","institution_ids":["https://openalex.org/I2799321762"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100321791","display_name":"Yayi He","orcid":"https://orcid.org/0000-0002-2820-9119","observed_orcids":["https://orcid.org/0000-0002-2820-9119"]},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210127126","display_name":"Shanghai Pulmonary Hospital","ror":"https://ror.org/033nbnf69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127126"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yayi He","raw_affiliation_strings":["Tongji University Affiliated Shanghai Pulmonary Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University Affiliated Shanghai Pulmonary Hospital","institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210127126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100321791"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I4210127126"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10417","display_name":"Lung Cancer Treatments and Mutations","score":0.6342999935150146,"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"}},"topics":[{"id":"https://openalex.org/T10417","display_name":"Lung Cancer Treatments and Mutations","score":0.6342999935150146,"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/T12334","display_name":"Lung Cancer Research Studies","score":0.09650000184774399,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.056699998676776886,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/lung-cancer","display_name":"lung cancer","score":0.9909999966621399},{"id":"https://openalex.org/keywords/patient-derived-xenografts","display_name":"patient-derived xenografts","score":0.9549999833106995},{"id":"https://openalex.org/keywords/nog-mice","display_name":"NOG mice","score":0.8669999837875366},{"id":"https://openalex.org/keywords/genotype-matching","display_name":"genotype matching","score":0.5619999766349792},{"id":"https://openalex.org/keywords/predictive-model","display_name":"prediction model","score":0.5109999775886536},{"id":"https://openalex.org/keywords/driver-mutations","display_name":"driver mutations","score":0.6110000014305115},{"id":"https://openalex.org/keywords/egfr-mutation","display_name":"EGFR mutation","score":0.9359999895095825},{"id":"https://openalex.org/keywords/prior-chemotherapy","display_name":"prior chemotherapy","score":0.5249999761581421},{"id":"https://openalex.org/keywords/tyrosine-kinase-inhibitors","display_name":"tyrosine kinase inhibitors","score":0.9319999814033508},{"id":"https://openalex.org/keywords/catboost","display_name":"CatBoost","score":0.8309999704360962},{"id":"https://openalex.org/keywords/smote","display_name":"SMOTE","score":0.6700000166893005},{"id":"https://openalex.org/keywords/class-imbalance","display_name":"class imbalance","score":0.6069999933242798},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.6549999713897705},{"id":"https://openalex.org/keywords/immunotherapy","display_name":"immunotherapy","score":0.4259999990463257},{"id":"https://openalex.org/keywords/drug-resistance","display_name":"drug resistance","score":0.492000013589859},{"id":"https://openalex.org/keywords/clinicopathological-features","display_name":"clinicopathological features","score":0.6539999842643738},{"id":"https://openalex.org/keywords/lasso-logistic-regression","display_name":"LASSO logistic regression","score":0.6470000147819519},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.9670000076293945}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6208553314208984},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6152804493904114},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6117014288902283},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5956087708473206},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5582510232925415},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.47236210107803345},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.46008893847465515},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.455005407333374},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4412716031074524},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.4365483820438385},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4339957535266876},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4286736249923706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42657795548439026},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4243777394294739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3820889890193939},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3729003071784973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3219742178916931},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.1360461413860321},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-73446/v1","doi":"https://doi.org/10.21203/rs.3.rs-73446/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-73446/v1","pdf_url":"https://www.researchsquare.com/article/rs-73446/v1.pdf?c=1602644456000","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-73446/v1","doi":"https://doi.org/10.21203/rs.3.rs-73446/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-73446/v1","pdf_url":"https://www.researchsquare.com/article/rs-73446/v1.pdf?c=1602644456000","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":1.0,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1792620616","display_name":null,"funder_award_id":"fk18005","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G1857778124","display_name":null,"funder_award_id":"81802255","funder_id":"https://openalex.org/F4320329745","funder_display_name":"Shanghai Pulmonary Hospital"},{"id":"https://openalex.org/G3535862999","display_name":null,"funder_award_id":"fkyq1901","funder_id":"https://openalex.org/F4320329745","funder_display_name":"Shanghai Pulmonary Hospital"},{"id":"https://openalex.org/G3624751900","display_name":null,"funder_award_id":"81802255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G497077928","display_name":null,"funder_award_id":"81802255","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G5639236966","display_name":null,"funder_award_id":"fkyq1901","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G7480834049","display_name":null,"funder_award_id":"fkyq1901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8083701073","display_name":null,"funder_award_id":"fk18005","funder_id":"https://openalex.org/F4320329745","funder_display_name":"Shanghai Pulmonary Hospital"},{"id":"https://openalex.org/G8127793893","display_name":null,"funder_award_id":"fkcx1903","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8429470263","display_name":null,"funder_award_id":"fkcx1903","funder_id":"https://openalex.org/F4320329745","funder_display_name":"Shanghai Pulmonary Hospital"},{"id":"https://openalex.org/G8755174377","display_name":null,"funder_award_id":"fkcx1903","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G8774271182","display_name":null,"funder_award_id":"fk18005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320329745","display_name":"Shanghai Pulmonary Hospital","ror":"https://ror.org/033nbnf69"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4252234459.pdf","grobid_xml":"https://content.openalex.org/works/W4252234459.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W657316482","https://openalex.org/W1911261107","https://openalex.org/W1964331116","https://openalex.org/W2023975001","https://openalex.org/W2057985610","https://openalex.org/W2118952409","https://openalex.org/W2146041593","https://openalex.org/W2146475919","https://openalex.org/W2168933068","https://openalex.org/W2226832866","https://openalex.org/W2466033276","https://openalex.org/W2609243345","https://openalex.org/W2751733606","https://openalex.org/W2759958021","https://openalex.org/W2789683369","https://openalex.org/W2891901428","https://openalex.org/W2894724635","https://openalex.org/W2896991425","https://openalex.org/W2910245285","https://openalex.org/W2913134141","https://openalex.org/W2943658884","https://openalex.org/W2972582992","https://openalex.org/W2993380934","https://openalex.org/W3000368668","https://openalex.org/W6641097993"],"related_works":["https://openalex.org/W3194127433","https://openalex.org/W2340753012","https://openalex.org/W2807160366","https://openalex.org/W2898400274","https://openalex.org/W2592672980","https://openalex.org/W2739844105","https://openalex.org/W4294917931","https://openalex.org/W2741778027","https://openalex.org/W2885158906","https://openalex.org/W2769772322"],"abstract_inverted_index":{"Abstract":[0],"Background:":[1],"Targeted":[2],"therapy":[3],"and":[4,23,37,86,97,107,121,138,160,185,238,253,317],"immune":[5],"checkpoint":[6],"inhibitors":[7,235],"are":[8,32],"the":[9,43,46,70,104,129,167,175,179,215,227,239,264,269,273,281],"most":[10],"promising":[11],"treatments":[12],"for":[13,34,56,112,314,323],"lung":[14,193,311],"cancers":[15],"but":[16],"still":[17],"facing":[18],"multiple":[19],"challenges,":[20],"including":[21],"resistance":[22],"individual":[24],"difference.":[25],"Therefore,":[26],"patient-derived":[27],"tumor":[28],"xenografts":[29],"(PDX)":[30],"models":[31,59,109,171,196,326],"developed":[33],"drug":[35],"discovery":[36],"screening.":[38],"NOG":[39,100],"mice":[40],"is":[41,54],"under":[42,178],"destruction":[44],"of":[45,69,72,103,169,205,217,229,275],"interleukin-2":[47],"(IL-2)":[48],"receptor":[49,223],"common":[50,113],"gamma":[51],"chain,":[52],"which":[53,80],"appropriate":[55],"building":[57,324],"PDX":[58,76],"to":[60,82,123,309],"test":[61],"immunotherapies.":[62],"However,":[63],"current":[64],"studies":[65],"have":[66],"little":[67],"understanding":[68],"causes":[71],"genotype":[73,202],"mismatches":[74],"in":[75,188,327],"or":[77],"NOG/PDX":[78,108,195,315],"models,":[79,316],"leads":[81],"a":[83,201,320],"massive":[84],"economic":[85],"time":[87],"loss.Methods:":[88],"Lung":[89],"cancer":[90,194,312],"tissues":[91],"from":[92],"53":[93],"patients":[94,313],"were":[95,110,119,197,241],"obtained":[96],"engrafted":[98],"into":[99],"mice.":[101],"All":[102],"patients'":[105],"tumors":[106],"detected":[111],"gene":[114,225],"mutations.":[115],"Seventeen":[116],"clinicopathological":[117],"features":[118],"organized":[120],"input":[122],"stepwise":[124],"logistic":[125,210],"regression":[126],"based":[127],"on":[128],"lowest":[130],"Akaike":[131],"information":[132],"criterion":[133],"(AIC),":[134],"least":[135],"absolute":[136],"shrinkage":[137],"selection":[139],"operator":[140],"(LASSO)-logistic":[141],"regression,":[142],"support":[143],"vector":[144],"machine":[145],"recursive":[146],"feature":[147],"elimination":[148],"(SVM-RFE),":[149],"eXtreme":[150],"Gradient":[151,154],"Boosting":[152,155],"(XGBoost),":[153],"&":[156],"Categorical":[157],"Features":[158],"(CatBoost),":[159],"synthetic":[161],"minority":[162],"over-sampling":[163],"technique":[164],"(SMOTE).":[165],"Finally,":[166],"performance":[168,266],"all":[170],"was":[172],"evaluated":[173],"by":[174],"accuracy,":[176],"area":[177],"receiver":[180],"operating":[181],"characteristic":[182],"curve":[183],"(AUC),":[184],"F1":[186,251,261,297],"score":[187],"100":[189],"testing":[190],"groups.Results:":[191],"Fifty-three":[192],"successfully":[198],"established,":[199],"with":[200,268,277],"matching":[203],"rate":[204],"79.2%":[206],"(42/53).":[207],"Two":[208],"multivariable":[209],"regressions":[211],"revealed":[212],"that":[213],"age,":[214],"number":[216],"driver":[218],"mutations,":[219,226],"epidermal":[220],"growth":[221],"factor":[222],"(EGFR)":[224],"type":[228],"prior":[230,232],"chemotherapy,":[231],"tyrosine":[233],"kinase":[234],"(TKIs)":[236],"therapy,":[237],"source":[240],"potent":[242],"predictors.":[243],"Moreover,":[244,272],"CatBoost":[245],"(mean":[246,256,284],"accuracy=0.960;":[247],"mean":[248,250,258,260,290,296],"AUC=0.939;":[249],"score=0.908)":[252],"8-feature":[254],"SVM":[255,278],"accuracy=0.950;":[257],"AUC=0.934;":[259],"score=0.903)":[262],"showed":[263],"best":[265],"compared":[267],"other":[270],"algorithms.":[271],"combination":[274],"SMOTE":[276],"significantly":[279],"improved":[280],"predictive":[282,307],"capability":[283],"accuracy:":[285],"0.961":[286],"vs.":[287,293,300],"0.958,":[288],"P=0.025;":[289],"AUC:":[291],"0.940":[292],"0.935,":[294],"P=0.045;":[295],"score:":[298],"0.909":[299],"0.903,":[301],"P=0.047).Conclusions:":[302],"We":[303],"established":[304],"an":[305],"optimal":[306],"model":[308],"screen":[310],"also":[318],"offered":[319],"general":[321],"approach":[322],"prediction":[325],"small":[328],"unbalanced":[329],"biomedical":[330],"samples.":[331]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-05-12T00:00:00"}