{"id":"https://openalex.org/W4283795970","doi":"https://doi.org/10.1080/03610918.2022.2094962","title":"Interpretability of SurvivalBoost upon Shapley Additive Explanation value on medical data","display_name":"Interpretability of SurvivalBoost upon Shapley Additive Explanation value on medical data","publication_year":2022,"publication_date":"2022-07-03","ids":{"openalex":"https://openalex.org/W4283795970","doi":"https://doi.org/10.1080/03610918.2022.2094962"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2094962","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2094962","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5070966035","display_name":"Yating Wang","orcid":"https://orcid.org/0000-0002-9820-5607"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045361404","display_name":"Jinxia Su","orcid":"https://orcid.org/0000-0002-2338-4786"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxia Su","raw_affiliation_strings":["School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046331402","display_name":"Xuejing Zhao","orcid":"https://orcid.org/0000-0002-0959-2933"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejing Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Center for Data Science, Lanzhou University, Lanzhou, P.R. China","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046331402"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":1.702,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85125698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"53","issue":"7","first_page":"3058","last_page":"3067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9819999933242798,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9852914810180664},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.7195883989334106},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6114669442176819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5591426491737366},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5268815159797668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.522234320640564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49039316177368164},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.4728339612483978},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4428296685218811},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33682918548583984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32655996084213257},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21184933185577393}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9852914810180664},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.7195883989334106},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6114669442176819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5591426491737366},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5268815159797668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.522234320640564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49039316177368164},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.4728339612483978},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4428296685218811},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33682918548583984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32655996084213257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21184933185577393},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2022.2094962","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2094962","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:/ir.lzu.edu.cn/:262010/483071","is_oa":false,"landing_page_url":"https://ir.lzu.edu.cn/handle/262010/483071","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G3377869155","display_name":null,"funder_award_id":"81960309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4547684142","display_name":null,"funder_award_id":"11971214","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1562353621","https://openalex.org/W1883484737","https://openalex.org/W2052825782","https://openalex.org/W2122825543","https://openalex.org/W2282652298","https://openalex.org/W2295598076","https://openalex.org/W2317515691","https://openalex.org/W2408246687","https://openalex.org/W2560070550","https://openalex.org/W2593914038","https://openalex.org/W2883387735","https://openalex.org/W2912083425","https://openalex.org/W2919821184","https://openalex.org/W2944152053","https://openalex.org/W2945253629","https://openalex.org/W2963232127","https://openalex.org/W2979750067","https://openalex.org/W2988589399","https://openalex.org/W3022088525","https://openalex.org/W3022935508","https://openalex.org/W3039503982","https://openalex.org/W3107095885","https://openalex.org/W3118913631","https://openalex.org/W3134923396","https://openalex.org/W3147894994","https://openalex.org/W3158928250","https://openalex.org/W3162690441","https://openalex.org/W3184084406","https://openalex.org/W4206130440","https://openalex.org/W4220726338"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W2402455041","https://openalex.org/W4283795970","https://openalex.org/W2371621356","https://openalex.org/W2048488252","https://openalex.org/W2096801452","https://openalex.org/W4399551708","https://openalex.org/W2940614149","https://openalex.org/W2892683542","https://openalex.org/W4288365262"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"methods":[2],"have":[3],"been":[4,32],"extensively":[5],"used":[6],"in":[7],"survival":[8,14,29,82],"analysis.":[9,83],"SurvivalBoost":[10],"-":[11],"a":[12],"machine-learning-based":[13],"regression":[15,23],"algorithm,":[16],"focused":[17],"on":[18,25,38],"Elastic-net-Type":[19],"penalized":[20],"semiparametric":[21],"Cox":[22],"model":[24],"XGBoost":[26],"and":[27,40,79],"random":[28],"forests,":[30],"has":[31],"verified":[33],"its":[34],"superior":[35],"prediction":[36],"performance":[37],"real":[39],"simulated":[41],"datasets.":[42],"Whereas":[43],"the":[44,52,59,69,77],"interpretability":[45,53],"is":[46,66],"remain":[47],"undiscovered.":[48],"This":[49],"paper":[50],"discusses":[51],"of":[54,81],"this":[55],"algorithm":[56,70],"upon":[57],"using":[58],"Shapley":[60],"Additive":[61],"Explanation":[62],"(SHAP)":[63],"value.":[64],"It":[65],"illustrated":[67],"that":[68],"can":[71],"be":[72],"more":[73],"effective":[74],"to":[75],"guide":[76],"diagnosis":[78],"practice":[80]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
