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Using machine learning to predict individual patient toxicities from cancer treatments.
Cole, Katherine Marie; Clemons, Mark; McGee, Sharon; Alzahrani, Mashari; Larocque, Gail; MacDonald, Fiona; Liu, Michelle; Pond, Gregory R; Mosquera, Lucy; Vandermeer, Lisa; Hutton, Brian; Piper, Ardelle; Fernandes, Ricardo; Emam, Khaled El.
Afiliação
  • Cole KM; Department of Medicine, Division of Medical Oncology, The University of Ottawa, Ottawa, Canada.
  • Clemons M; Department of Medicine, Division of Medical Oncology, The University of Ottawa, Ottawa, Canada.
  • McGee S; Cancer Therapeutics Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Alzahrani M; Department of Medicine, Division of Medical Oncology, The University of Ottawa, Ottawa, Canada.
  • Larocque G; Department of Medicine, Division of Medical Oncology, The University of Ottawa, Ottawa, Canada.
  • MacDonald F; The Ottawa Hospital Cancer Centre, Ottawa, Canada.
  • Liu M; The Ottawa Hospital Cancer Centre, Ottawa, Canada.
  • Pond GR; Cancer Therapeutics Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Mosquera L; Department of Oncology, McMaster University, Hamilton, ON, Canada.
  • Vandermeer L; CHEO Research Institute, University of Ottawa, 401 Smyth Road, Ottawa, ON, K1H 8L1, Canada.
  • Hutton B; Cancer Therapeutics Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Piper A; Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Fernandes R; University of Ottawa Health Services, Ottawa, ON, Canada.
  • Emam KE; Division of Medical Oncology, Department of Oncology, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Support Care Cancer ; 30(9): 7397-7406, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35614153
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article