{"id":"https://openalex.org/W4281492767","doi":"https://doi.org/10.3233/shti220400","title":"Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases","display_name":"Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases","publication_year":2022,"publication_date":"2022-05-25","ids":{"openalex":"https://openalex.org/W4281492767","doi":"https://doi.org/10.3233/shti220400","pmid":"https://pubmed.ncbi.nlm.nih.gov/35612020"},"language":"en","primary_location":{"id":"doi:10.3233/shti220400","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220400","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220400","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":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220400","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011757791","display_name":"Akram Redjdal","orcid":"https://orcid.org/0000-0003-3141-5463"},"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":true,"raw_author_name":"Akram Redjdal","raw_affiliation_strings":["Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, INSERM, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, INSERM, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4389425324","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033766960","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/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":["Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, INSERM, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, INSERM, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4389425324","https://openalex.org/I4210091279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071971525","display_name":"Joseph Gligorov","orcid":"https://orcid.org/0000-0002-9900-6386"},"institutions":[{"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/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/I4210166768","display_name":"H\u00f4pital Tenon","ror":"https://ror.org/05h5v3c50","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210166768"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Joseph Gligorov","raw_affiliation_strings":["AP-HP, H\u00f4pital Tenon, Paris, France","Sorbonne Universit\u00e9, Institut Universitaire de Canc\u00e9rologie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AP-HP, H\u00f4pital Tenon, Paris, France","institution_ids":["https://openalex.org/I4210166768","https://openalex.org/I39804081","https://openalex.org/I4210097159"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9, Institut Universitaire de Canc\u00e9rologie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043301871","display_name":"Brigitte S\u00e9roussi","orcid":"https://orcid.org/0000-0002-7676-2832"},"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, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AP-HP, H\u00f4pital Tenon, Paris, France","institution_ids":["https://openalex.org/I4210166768","https://openalex.org/I39804081","https://openalex.org/I4210097159"]},{"raw_affiliation_string":"APREC, Paris, France","institution_ids":["https://openalex.org/I4210128583"]},{"raw_affiliation_string":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris Nord, INSERM, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des connaissances en e-Sant\u00e9, LIMICS, F-75006 Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4389425324","https://openalex.org/I4210091279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011757791"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210091279","https://openalex.org/I4389425324"],"apc_list":null,"apc_paid":null,"fwci":0.3412,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55338215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"294","issue":null,"first_page":"78","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9904000163078308,"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":0.9904000163078308,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9674999713897705,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9054999947547913,"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/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.7934181690216064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6916340589523315},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6912448406219482},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6556329727172852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787100195884705},{"id":"https://openalex.org/keywords/guideline","display_name":"Guideline","score":0.5469629168510437},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5211670398712158},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5068667531013489},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.48856672644615173},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4833652377128601},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4531139135360718},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4513978362083435},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.37205013632774353},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.32048165798187256},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.3164918124675751},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12221351265907288},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11827027797698975}],"concepts":[{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.7934181690216064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916340589523315},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6912448406219482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6556329727172852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787100195884705},{"id":"https://openalex.org/C2780182762","wikidata":"https://www.wikidata.org/wiki/Q1630279","display_name":"Guideline","level":2,"score":0.5469629168510437},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5211670398712158},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5068667531013489},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.48856672644615173},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4833652377128601},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4531139135360718},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4513978362083435},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37205013632774353},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.32048165798187256},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3164918124675751},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12221351265907288},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11827027797698975},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"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":"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":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000628","qualifier_name":"therapy","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}],"locations_count":3,"locations":[{"id":"doi:10.3233/shti220400","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220400","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220400","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:35612020","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35612020","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-03681262v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03681262","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Challenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220400⟩","raw_type":"Book sections"}],"best_oa_location":{"id":"doi:10.3233/shti220400","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti220400","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI220400","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":[{"id":"https://openalex.org/F4320330232","display_name":"Sorbonne Universit\u00e9","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281492767.pdf","grobid_xml":"https://content.openalex.org/works/W4281492767.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2186072841","https://openalex.org/W2891469329","https://openalex.org/W3046931506","https://openalex.org/W3165472203","https://openalex.org/W3194329229","https://openalex.org/W4225477668","https://openalex.org/W4225504840","https://openalex.org/W4287509026"],"related_works":["https://openalex.org/W2046929026","https://openalex.org/W2779278343","https://openalex.org/W2533987749","https://openalex.org/W1996434451","https://openalex.org/W1569026615","https://openalex.org/W2791725133","https://openalex.org/W2112831187","https://openalex.org/W2122149485","https://openalex.org/W4232131108","https://openalex.org/W2128124510"],"abstract_inverted_index":{"In":[0,99],"many":[1],"countries,":[2],"the":[3,32,54,58,61,69,79,125,138,141],"management":[4],"of":[5,34,45,55,60,68,117,127,148],"cancer":[6,29,120,130],"patients":[7],"must":[8],"be":[9],"discussed":[10],"in":[11],"multidisciplinary":[12,26],"tumor":[13],"boards":[14],"(MTBs).":[15],"These":[16],"meetings":[17],"have":[18],"been":[19],"introduced":[20],"to":[21,28,51,123],"provide":[22],"a":[23,43,114,128],"collaborative":[24],"and":[25,47,94,104,109,134],"approach":[27],"care.":[30],"However,":[31],"benefits":[33],"MTBs":[35],"are":[36,42],"now":[37],"being":[38],"challenged":[39],"because":[40],"there":[41],"lot":[44],"cases":[46,89,93],"not":[48,82],"enough":[49],"time":[50],"discuss":[52],"all":[53],"them.":[56],"During":[57],"evaluation":[59],"guideline-based":[62],"clinical":[63,77,92,131],"decision":[64],"support":[65],"system":[66,80],"(CDSS)":[67],"DESIREE":[70],"project,":[71],"we":[72,102],"found":[73],"that":[74,87],"for":[75],"some":[76],"cases,":[78],"did":[81],"produce":[83],"recommendations.":[84],"We":[85],"assumed":[86],"these":[88],"were":[90,137],"complex":[91],"needed":[95],"deeper":[96],"MTB":[97],"discussions.":[98],"this":[100],"work,":[101],"trained":[103],"tested":[105],"several":[106],"machine":[107],"learning":[108,111],"deep":[110],"algorithms":[112],"on":[113],"labelled":[115],"sample":[116],"298":[118],"breast":[119,129],"patient":[121],"summaries,":[122],"predict":[124],"complexity":[126],"case.":[132],"XGboost":[133],"multi-layer":[135],"perceptron":[136],"models":[139],"with":[140,144],"best":[142],"result,":[143],"an":[145],"F1":[146],"score":[147],"83%.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}