{"id":"https://openalex.org/W3213576175","doi":"https://doi.org/10.3233/shti210834","title":"Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases","display_name":"Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases","publication_year":2021,"publication_date":"2021-11-18","ids":{"openalex":"https://openalex.org/W3213576175","doi":"https://doi.org/10.3233/shti210834","mag":"3213576175","pmid":"https://pubmed.ncbi.nlm.nih.gov/34795099"},"language":"en","primary_location":{"id":"doi:10.3233/shti210834","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti210834","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI210834","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI210834","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"My-Anh Le Thien","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4389425324","display_name":"Laboratoire d'Informatique M\u00e9dicale et d'Ing\u00e9nierie des Connaissances en e-Sant\u00e9","ror":"https://ror.org/01jr1v359","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"My-Anh Le Thien","raw_affiliation_strings":["Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Akram Redjdal","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4389425324","display_name":"Laboratoire d'Informatique M\u00e9dicale et d'Ing\u00e9nierie des Connaissances en e-Sant\u00e9","ror":"https://ror.org/01jr1v359","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Akram Redjdal","raw_affiliation_strings":["Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jacques Bouaud","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210097159","display_name":"Assistance Publique \u2013 H\u00f4pitaux de Paris","ror":"https://ror.org/00pg5jh14","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159"]},{"id":"https://openalex.org/I4389425324","display_name":"Laboratoire d'Informatique M\u00e9dicale et d'Ing\u00e9nierie des Connaissances en e-Sant\u00e9","ror":"https://ror.org/01jr1v359","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jacques Bouaud","raw_affiliation_strings":["AP-HP, DRCI, Paris, France","Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AP-HP, DRCI, Paris, France","institution_ids":["https://openalex.org/I4210097159"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}]},{"author_position":"last","author":{"id":null,"display_name":"Brigitte Seroussi","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210097159","display_name":"Assistance Publique \u2013 H\u00f4pitaux de Paris","ror":"https://ror.org/00pg5jh14","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159"]},{"id":"https://openalex.org/I4210128583","display_name":"Agence Parisienne du Climat","ror":"https://ror.org/0359qxb80","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I4210128583"]},{"id":"https://openalex.org/I4210166768","display_name":"H\u00f4pital Tenon","ror":"https://ror.org/05h5v3c50","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210166768"]},{"id":"https://openalex.org/I4389425324","display_name":"Laboratoire d'Informatique M\u00e9dicale et d'Ing\u00e9nierie des Connaissances en e-Sant\u00e9","ror":"https://ror.org/01jr1v359","country_code":null,"type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Brigitte Seroussi","raw_affiliation_strings":["AP-HP, H\u00f4pital Tenon, Paris, France","APREC, Paris, France","Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AP-HP, H\u00f4pital Tenon, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210097159","https://openalex.org/I4210166768"]},{"raw_affiliation_string":"APREC, Paris, France","institution_ids":["https://openalex.org/I4210128583"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, Inserm, UMR S_1142, LIMICS, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25785838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"287","issue":null,"first_page":"144","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.7649999856948853,"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":0.7649999856948853,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.020500000566244125,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.019600000232458115,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.7008000016212463},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.67330002784729},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6359000205993652},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.6068999767303467},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6067000031471252},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.5848000049591064},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4876999855041504}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.7008000016212463},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.67330002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565999984741211},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6359000205993652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6248999834060669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6248000264167786},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.6068999767303467},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6067000031471252},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.5848000049591064},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4876999855041504},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.38760000467300415},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29120001196861267},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28459998965263367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.259799987077713}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":null,"qualifier_name":null,"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":"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":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.3233/shti210834","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti210834","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI210834","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:34795099","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34795099","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":"Studies in health technology and informatics","raw_type":null},{"id":"pmh:oai:HAL:hal-03648855v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03648855","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, IOS Press, 2021, Studies in Health Technology and Informatics, ⟨10.3233/SHTI210834⟩","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.3233/shti210834","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti210834","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI210834","source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3213576175.pdf","grobid_xml":"https://content.openalex.org/works/W3213576175.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W6600547436"],"related_works":[],"abstract_inverted_index":{"Using":[0],"guideline-based":[1],"clinical":[2,9],"decision":[3,74],"support":[4,75],"systems":[5],"(CDSSs)":[6],"has":[7],"improved":[8],"practice,":[10],"especially":[11],"during":[12],"multidisciplinary":[13],"tumour":[14],"boards":[15],"(MTBs)":[16],"in":[17,48],"cancer":[18,38],"patient":[19],"management.":[20],"However,":[21],"MTBs":[22],"have":[23,46],"been":[24],"reported":[25],"to":[26,32,55,61,97],"be":[27],"overcrowded,":[28],"with":[29,83,102,109,115],"limited":[30],"time":[31],"discuss":[33],"all":[34,107],"cases.":[35],"Complex":[36],"breast":[37],"cases":[39,64,68],"that":[40],"need":[41],"further":[42],"MTB":[43,57],"discussions":[44],"should":[45],"priority":[47],"the":[49,70,73],"organization":[50],"of":[51,72],"MTBs.":[52],"In":[53],"order":[54],"optimize":[56],"workflow,":[58],"we":[59,87],"attempted":[60],"predict":[62],"complex":[63],"defined":[65],"as":[66],"non-compliant":[67],"despite":[69],"use":[71],"system":[76],"OncoDoc.":[77],"After":[78],"previously":[79],"obtaining":[80],"insufficient":[81],"performance":[82],"machine":[84],"learning":[85],"algorithms,":[86],"tested":[88],"Multi":[89],"Layer":[90],"Perceptron":[91],"for":[92],"classification,":[93],"compared":[94],"various":[95],"samplers":[96],"compensate":[98],"data":[99],"imbalance":[100],"combined":[101],"cross-":[103],"validation,":[104],"and":[105,112,118],"optimized":[106],"models":[108],"hyperparameter":[110],"tuning":[111],"feature":[113],"selection":[114],"no":[116],"improvement":[117],"lacklustre":[119],"results":[120],"(F1-score:":[121],"31.4%).":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2021-11-22T00:00:00"}