This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (eHealth) (538) Innovations and Technology in Cancer Care (423) Machine Learning (1465) Decision Support for Health Professionals (1185) Breast Cancer (206) Web-based and Mobile Health Interventions (3297)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48852, first published .
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

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

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

Authors of this article:

Marianna Masiero1, 2 Author Orcid Image ;   Gea Elena Spada2 Author Orcid Image ;   Virginia Sanchini1 Author Orcid Image ;   Elisabetta Munzone3 Author Orcid Image ;   Ricardo Pietrobon4 Author Orcid Image ;   Lucas Teixeira4 Author Orcid Image ;   Mirtha Valencia4 Author Orcid Image ;   Aline Machiavelli4 Author Orcid Image ;   Elisa Fragale2 Author Orcid Image ;   Massimo Pezzolato1, 2 Author Orcid Image ;   Gabriella Pravettoni1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Marianna Masiero   1, 2 , PhD ;   Gea Elena Spada   2 , MSc ;   Virginia Sanchini   1 , PhD ;   Elisabetta Munzone   3 , MD ;   Ricardo Pietrobon   4 , PhD ;   Lucas Teixeira   4 , MSc ;   Mirtha Valencia   4 , MSc ;   Aline Machiavelli   4 , MSc ;   Elisa Fragale   2 , MSc ;   Massimo Pezzolato   1, 2 , MSc ;   Gabriella Pravettoni   1, 2 , PhD

1 Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy

2 Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology IRCCS, Milan, Italy

3 Division of Medical Senology, European Institute of Oncology IRCCS, Milan, Italy

4 SporeData Inc, Durham, NC, United States

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