{"id":"https://openalex.org/W4392292323","doi":"https://doi.org/10.1186/s12859-024-05716-7","title":"An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome","display_name":"An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome","publication_year":2024,"publication_date":"2024-02-29","ids":{"openalex":"https://openalex.org/W4392292323","doi":"https://doi.org/10.1186/s12859-024-05716-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/38418940"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-024-05716-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05716-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05716-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05716-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101684380","display_name":"Hua Chai","orcid":"https://orcid.org/0000-0001-8354-3948"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chai","raw_affiliation_strings":["School of Mathematics and Big Data, Foshan University, Foshan, 528000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, 528000, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040824455","display_name":"Siyin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyin Lin","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, 510000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, 510000, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103686561","display_name":"Junqi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqi Lin","raw_affiliation_strings":["School of Mathematics and Big Data, Foshan University, Foshan, 528000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, 528000, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022394072","display_name":"Minfan He","orcid":null},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minfan He","raw_affiliation_strings":["School of Mathematics and Big Data, Foshan University, Foshan, 528000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, 528000, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023539493","display_name":"Yuedong Yang","orcid":"https://orcid.org/0000-0002-6782-2813"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuedong Yang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, 510000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, 510000, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089473346","display_name":"Ouyang Yongzhong","orcid":"https://orcid.org/0000-0003-0498-8055"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhong OuYang","raw_affiliation_strings":["School of Mathematics and Big Data, Foshan University, Foshan, 528000, China. ouyang7492@163.com","School of Mathematics and Big Data, Foshan University, Foshan, 528000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, 528000, China. ouyang7492@163.com","institution_ids":["https://openalex.org/I14894300"]},{"raw_affiliation_string":"School of Mathematics and Big Data, Foshan University, Foshan, 528000, China","institution_ids":["https://openalex.org/I14894300"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076568855","display_name":"Huiying Zhao","orcid":"https://orcid.org/0000-0001-9429-3016"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210097354","display_name":"Sun Yat-sen Memorial Hospital","ror":"https://ror.org/01px77p81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210097354"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiying Zhao","raw_affiliation_strings":["Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510000, China. zhaohy8@mail.sysu.edu.cn","Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510000, China. zhaohy8@mail.sysu.edu.cn","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510000, China","institution_ids":["https://openalex.org/I4210097354","https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076568855"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210097354"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.5175,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90125834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"88","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.5752000212669373,"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/T10862","display_name":"AI in cancer detection","score":0.5752000212669373,"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/T10183","display_name":"Breast Cancer Treatment Studies","score":0.08190000057220459,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.04360000044107437,"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/interpretability","display_name":"Interpretability","score":0.899407148361206},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.8352948427200317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6603264212608337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6375523805618286},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5887884497642517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5551837086677551},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5513349771499634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019190311431885},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.45400214195251465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3259260654449463},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.28549355268478394},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21123117208480835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09586265683174133}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.899407148361206},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.8352948427200317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6603264212608337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6375523805618286},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5887884497642517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551837086677551},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5513349771499634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019190311431885},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.45400214195251465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3259260654449463},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.28549355268478394},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21123117208480835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09586265683174133},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-024-05716-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05716-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05716-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38418940","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38418940","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10902951","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10902951","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10902951/pdf/12859_2024_Article_5716.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a9125ce6a3d94537bb6feb129b385245","is_oa":false,"landing_page_url":"https://doaj.org/article/a9125ce6a3d94537bb6feb129b385245","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)","raw_type":"article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/430236","is_oa":true,"landing_page_url":"https://hdl.handle.net/10072/430236","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1186/s12859-024-05716-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-024-05716-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05716-7","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G8595978569","display_name":null,"funder_award_id":"62201150","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/F4320327069","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392292323.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1960436769","https://openalex.org/W1965801346","https://openalex.org/W1981348429","https://openalex.org/W1993362565","https://openalex.org/W1993665971","https://openalex.org/W2003332201","https://openalex.org/W2012222551","https://openalex.org/W2021733365","https://openalex.org/W2052780159","https://openalex.org/W2074414424","https://openalex.org/W2086596704","https://openalex.org/W2088160256","https://openalex.org/W2106435751","https://openalex.org/W2111547563","https://openalex.org/W2118263932","https://openalex.org/W2118413367","https://openalex.org/W2131638827","https://openalex.org/W2136483917","https://openalex.org/W2136850689","https://openalex.org/W2139522545","https://openalex.org/W2146512944","https://openalex.org/W2158501247","https://openalex.org/W2167371528","https://openalex.org/W2189073727","https://openalex.org/W2258675270","https://openalex.org/W2325712553","https://openalex.org/W2479507898","https://openalex.org/W2600285053","https://openalex.org/W2604226631","https://openalex.org/W2604847258","https://openalex.org/W2696801991","https://openalex.org/W2741943936","https://openalex.org/W2753919178","https://openalex.org/W2795441251","https://openalex.org/W2884220743","https://openalex.org/W2905889700","https://openalex.org/W2951209146","https://openalex.org/W2984955289","https://openalex.org/W2990256362","https://openalex.org/W2998556046","https://openalex.org/W3024162587","https://openalex.org/W3095848620","https://openalex.org/W3102100346","https://openalex.org/W3112653481","https://openalex.org/W3113405673","https://openalex.org/W3128646645","https://openalex.org/W3158221061","https://openalex.org/W3163443268","https://openalex.org/W3164731060","https://openalex.org/W3181841890","https://openalex.org/W3188661708","https://openalex.org/W3193133705","https://openalex.org/W3209455776","https://openalex.org/W3216253450","https://openalex.org/W4200396769","https://openalex.org/W4205437678","https://openalex.org/W4207042123","https://openalex.org/W4212958784","https://openalex.org/W4300689006","https://openalex.org/W4307656721","https://openalex.org/W4385405823"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344"],"abstract_inverted_index":{"BACKGROUND:":[0],"Predicting":[1],"outcome":[2,30,59],"of":[3,17,35,60,71,107,162],"breast":[4,61,108,140,152,175,186],"cancer":[5,29,153,176],"is":[6,38,65,169,180],"important":[7],"for":[8,28,73],"selecting":[9],"appropriate":[10],"treatments":[11],"and":[12,93,110,157,171,178],"prolonging":[13],"the":[14,33,58,69,74,85,119,132],"survival":[15],"periods":[16],"patients.":[18],"Recently,":[19],"different":[20],"deep":[21,51],"learning-based":[22],"methods":[23,37,121],"have":[24,145],"been":[25,146],"carefully":[26],"designed":[27],"prediction.":[31],"However,":[32],"application":[34],"these":[36],"still":[39],"challenged":[40],"by":[41,87,154],"interpretability.":[42],"In":[43],"this":[44,163],"study,":[45],"we":[46],"proposed":[47,167],"a":[48],"novel":[49,160],"multitask":[50],"neural":[52],"network":[53],"called":[54],"UISNet":[55,64,83,133],"to":[56,67,129,148,184],"predict":[57],"cancer.":[62],"The":[63,99,189],"able":[66],"interpret":[68],"importance":[70],"features":[72],"prediction":[75,86],"model":[76,100],"via":[77],"an":[78,181],"uncertainty-based":[79],"integrated":[80],"gradients":[81],"algorithm.":[82],"improved":[84],"introducing":[88],"prior":[89],"biological":[90],"pathway":[91],"knowledge":[92],"utilizing":[94],"patient":[95],"heterogeneity":[96],"information.":[97],"RESULTS:":[98],"was":[101],"tested":[102],"in":[103,173],"seven":[104],"public":[105],"datasets":[106],"cancer,":[109,141],"showed":[111],"better":[112],"performance":[113],"(average":[114,122],"C-index":[115,123],"=":[116,124],"0.691)":[117],"than":[118],"state-of-the-art":[120],"0.650,":[125],"ranged":[126],"from":[127],"0.619":[128],"0.677).":[130],"Importantly,":[131],"identified":[134],"20":[135],"genes":[136],"as":[137],"associated":[138,150],"with":[139,151],"among":[142],"which":[143],"11":[144],"proven":[147],"be":[149],"previous":[155],"studies,":[156],"others":[158],"are":[159,192],"findings":[161],"study.":[164],"CONCLUSIONS:":[165],"Our":[166],"method":[168,190],"accurate":[170],"robust":[172],"predicting":[174],"outcomes,":[177],"it":[179],"effective":[182],"way":[183],"identify":[185],"cancer-associated":[187],"genes.":[188],"codes":[191],"available":[193],"at:":[194],"https://github.com/chh171/UISNet":[195],".":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}