Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes
Our findings highlight the promise of machine learning techniques in supporting personalized medicine. Advanced predictive models may aid in identifying patients at risk of non-adherence, enabling early interventions, and improving long-term outcomes through tailored lifestyle strategies for breast cancer survivors.
Authors
- Paolo Giaccone (ORCID: https://orcid.org/0000-0001-9239-7786)
- Massimo Libra (ORCID: https://orcid.org/0000-0002-7232-7737)
- Assunta Luongo (ORCID: https://orcid.org/0000-0002-1099-2686)
- Leandro Pecchia (ORCID: https://orcid.org/0000-0002-7900-5415)
- Egidio Celentano (ORCID: https://orcid.org/0000-0002-3193-5699)
- Michelino De Laurentiis (ORCID: https://orcid.org/0000-0001-9009-1572)
- Marco Cascella (ORCID: https://orcid.org/0000-0002-5236-3132)
- Ernesta Cavalcanti (ORCID: https://orcid.org/0000-0001-6302-1579)
- Maria Grimaldi (ORCID: https://orcid.org/0000-0002-5332-7969)
- Anita Minopoli (ORCID: https://orcid.org/0000-0001-5909-0547)
- Luca Bacco (ORCID: https://orcid.org/0000-0001-5462-2727)
- Anna Crispo (ORCID: https://orcid.org/0000-0002-8455-3328)
- Livia S. A. Augustin (ORCID: https://orcid.org/0000-0002-6673-8281)
- Giuseppe Porciello (ORCID: https://orcid.org/0000-0002-8731-2773)
- Sergio Coluccia (ORCID: https://orcid.org/0000-0003-4044-1217)
- Samuele Massarut (ORCID: https://orcid.org/0000-0003-4717-0544)
- Rosa Pica (ORCID: https://orcid.org/0000-0002-5335-7631)
- Melania Prete (ORCID: https://orcid.org/0000-0002-5386-0819)
- Jerry Polesel (ORCID: https://orcid.org/0000-0001-9381-1520)
- Elvira Palumbo (ORCID: https://orcid.org/0000-0003-2844-2452)
- Agnese Bonfigli (ORCID: https://orcid.org/0009-0008-7092-2875)
- Sara Vitale (ORCID: https://orcid.org/0000-0001-7198-3030)
- Maria Elisabetta Pagnano
Institutions
- 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)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-11-06
- DOI
- https://doi.org/10.3389/fdgth.2025.1645233
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute