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Correction: A Machine Learning Model to Predict Patients' Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial.
Masiero, Marianna; Spada, Gea Elena; Sanchini, Virginia; Munzone, Elisabetta; Pietrobon, Ricardo; Teixeira, Lucas; Valencia, Mirtha; Machiavelli, Aline; Fragale, Elisa; Pezzolato, Massimo; Pravettoni, Gabriella.
  • Masiero M; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
  • Spada GE; Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy.
  • Sanchini V; Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy.
  • Munzone E; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
  • Pietrobon R; Division of Medical Senology, European Institute of Oncology IRCCS, Milan, Italy.
  • Teixeira L; SporeData Inc, Durham, NC, United States.
  • Valencia M; SporeData Inc, Durham, NC, United States.
  • Machiavelli A; SporeData Inc, Durham, NC, United States.
  • Fragale E; SporeData Inc, Durham, NC, United States.
  • Pezzolato M; Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy.
  • Pravettoni G; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.
JMIR Res Protoc ; 13: e55928, 2024 Jan 15.
Article en En | MEDLINE | ID: mdl-38224582
ABSTRACT
[This corrects the article DOI 10.2196/48852.].
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2024 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2024 Tipo del documento: Article