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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 29, 2023
Date Accepted: Dec 29, 2023

The final, peer-reviewed published version of this preprint can be found here:

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 M, Spada GE, Sanchini V, Munzone E, Pietrobon R, Teixeira L, Valencia M, Machiavelli A, Fragale E, Pezzolato M, Pravettoni G

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

JMIR Res Protoc 2024;13:e55928

DOI: 10.2196/55928

PMID: 38224582

PMCID: 10825762

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

  • Marianna Masiero; 
  • Gea Elena Spada; 
  • Virginia Sanchini; 
  • Elisabetta Munzone; 
  • Ricardo Pietrobon; 
  • Lucas Teixeira; 
  • Mirtha Valencia; 
  • Aline Machiavelli; 
  • Elisa Fragale; 
  • Massimo Pezzolato; 
  • Gabriella Pravettoni

ABSTRACT

 


 Citation

Please cite as:

Masiero M, Spada GE, Sanchini V, Munzone E, Pietrobon R, Teixeira L, Valencia M, Machiavelli A, Fragale E, Pezzolato M, Pravettoni G

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

JMIR Res Protoc 2024;13:e55928

DOI: 10.2196/55928

PMID: 38224582

PMCID: 10825762

Per the author's request the PDF is not available.

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