{"id":"https://openalex.org/W4393970579","doi":"https://doi.org/10.1145/3644116.3644229","title":"Bi-omics prognostic model for invasive ductal carcinoma using deep learning","display_name":"Bi-omics prognostic model for invasive ductal carcinoma using deep learning","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970579","doi":"https://doi.org/10.1145/3644116.3644229"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5100778616","display_name":"Mingwei Zhang","orcid":"https://orcid.org/0009-0006-7017-215X"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingwei Zhang","raw_affiliation_strings":["Wuyi University, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020888838","display_name":"Tian Qiu","orcid":"https://orcid.org/0000-0003-0405-4738"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Qiu","raw_affiliation_strings":["Wuyi University, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525829","display_name":"Wenbing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbing Yang","raw_affiliation_strings":["Wuyi University, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039172744","display_name":"Z. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Zhang","raw_affiliation_strings":["Wuyi University, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065861456","display_name":"Bokai Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bokai Shi","raw_affiliation_strings":["Wuyi University, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University, China","institution_ids":["https://openalex.org/I98834328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100778616"],"corresponding_institution_ids":["https://openalex.org/I98834328"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22271488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"682","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9722999930381775,"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/invasive-ductal-carcinoma","display_name":"Invasive ductal carcinoma","score":0.6488000154495239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277087092399597},{"id":"https://openalex.org/keywords/omics","display_name":"Omics","score":0.5230168700218201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47849005460739136},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43409088253974915},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30876821279525757},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.20612066984176636},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18336474895477295},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17531049251556396},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.17499175667762756}],"concepts":[{"id":"https://openalex.org/C3020375857","wikidata":"https://www.wikidata.org/wiki/Q1671685","display_name":"Invasive ductal carcinoma","level":4,"score":0.6488000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277087092399597},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.5230168700218201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47849005460739136},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43409088253974915},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30876821279525757},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.20612066984176636},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18336474895477295},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17531049251556396},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.17499175667762756},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.44999998807907104,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1966182769","https://openalex.org/W1977653087","https://openalex.org/W2795989238","https://openalex.org/W2906064849","https://openalex.org/W2966296683","https://openalex.org/W2999607073","https://openalex.org/W3011243692","https://openalex.org/W3025800305","https://openalex.org/W3041291445","https://openalex.org/W3109918169","https://openalex.org/W4205747831","https://openalex.org/W4207040952","https://openalex.org/W4231894010","https://openalex.org/W4286586242","https://openalex.org/W4308930010","https://openalex.org/W4320577290"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Invasive":[0],"ductal":[1],"carcinoma":[2],"is":[3],"a":[4,22,99],"common":[5],"subtype":[6],"of":[7,40,46,127,145,158],"breast":[8],"cancer,":[9],"and":[10,30,54,59,79,94,98,109,113,150,161,169],"current":[11],"prognostic":[12,42,101,124],"models":[13],"are":[14],"mainly":[15],"single-omics":[16,138],"models.":[17],"We":[18],"aimed":[19],"to":[20,36,118,136,153],"develop":[21],"bi-omics":[23,100,130],"model":[24,93,102,121,131],"combining":[25],"cancer-associated":[26],"fibroblast(CAF)":[27],"gene":[28,71,148],"expression":[29,77,149],"Whole-field":[31,82],"digital":[32,83],"slice":[33,84],"image(WSI)":[34],"features":[35,86,152],"improve":[37],"the":[38,52,120,128,137,143,156],"accuracy":[39],"predicting":[41],"effect.":[43],"A":[44],"total":[45],"491":[47],"patients":[48,160],"were":[49,55,68,87,116],"included":[50],"in":[51],"experiment":[53],"randomized":[56],"into":[57],"training":[58],"validation":[60],"sets.":[61],"CAF":[62,147],"genes":[63],"associated":[64],"with":[65],"patient":[66],"survival":[67,111],"screened":[69],"by":[70,105],"set":[72],"enrichment":[73],"analysis":[74,78,112],"(GSEA),":[75],"differential":[76],"Cox":[80,107],"regression.":[81],"image":[85],"extracted":[88],"using":[89],"deep":[90],"learning-based":[91],"U\u00b2Net":[92],"artificial":[95],"feature":[96],"approaches,":[97],"was":[103,132],"established":[104],"multi-factor":[106],"regression,":[108],"finally":[110],"AUC":[114],"values":[115],"applied":[117],"validate":[119],"accuracy.":[122],"The":[123],"prediction":[125],"performance":[126],"combined":[129],"significantly":[133],"improved":[134],"compared":[135],"model.":[139],"This":[140],"study":[141],"highlights":[142],"potential":[144],"integrating":[146],"WSI":[151],"better":[154],"predict":[155],"prognosis":[157],"IDC":[159],"provide":[162],"valuable":[163],"information":[164],"for":[165],"clinical":[166],"decision":[167],"making":[168],"personalized":[170],"treatment":[171],"strategies.":[172]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
