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Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis.
Huang, Weitong; Suominen, Hanna; Liu, Tommy; Rice, Gregory; Salomon, Carlos; Barnard, Amanda S.
Affiliation
  • Huang W; School of Computing, Australian National University, Acton, ACT 2601, Australia. Electronic address: jacob.huang@anu.edu.au.
  • Suominen H; School of Computing, Australian National University, Acton, ACT 2601, Australia; Department of Computing, University of Turku, Turku, Finland.
  • Liu T; School of Computing, Australian National University, Acton, ACT 2601, Australia.
  • Rice G; Inoviq Limited, Notting Hill, Australia; Translational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisba
  • Salomon C; Translational Extracellular Vesicles in Obstetrics and Gynae-Oncology Group, Centre for Clinical Diagnostics, University of Queensland Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Barnard AS; School of Computing, Australian National University, Acton, ACT 2601, Australia.
J Biomed Inform ; 141: 104365, 2023 05.
Article de En | MEDLINE | ID: mdl-37062419
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs de l'ovaire / Intelligence artificielle Type d'étude: Diagnostic_studies / Guideline / Prognostic_studies Limites: Female / Humans Langue: En Journal: J Biomed Inform Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs de l'ovaire / Intelligence artificielle Type d'étude: Diagnostic_studies / Guideline / Prognostic_studies Limites: Female / Humans Langue: En Journal: J Biomed Inform Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: États-Unis d'Amérique