Correction: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-03-11
DOI
https://doi.org/10.3389/fdgth.2026.1804768
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
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Correction: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes

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Frontiers in Digital Health
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Correction: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes

Paolo Giaccone, Massimo Libra, Leandro Pecchia, Egidio Celentano, Michelino De Laurentiis, Marco Cascella, Anita Minopoli, Luca Bacco, Jerry Polesel, Livia S. A. Augustin, S. Massarut, Sergio Coluccia, Rosa Pica, Melania Prete, Elvira Palumbo, Agnese Bonfigli, Sara Vitale, Assunta Luongo, Ernesta Cavalcanti, Maria Grimaldi, Giuseppe Porciello, Anna Crispo, Elisabetta Pagnano
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Abstract

No abstract available for this paper.
Frontiers in Digital HealthVol. 8
University of Salerno (IT), Università Campus Bio-Medico (IT), University of Milan (IT), University of Catania (IT), Centro di Riferimento Oncologico (IT), Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT), Campus Bio Medico University Hospital (IT)
Openalex Percentile: Top 27%
Cancer survivorship and care
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