A Feasible Machine Learning Approach to Improve Cognitive Screening in Multiple Sclerosis

Michelangelo Dini, Letizia Turchi, Giulia Gamberini, Alessandra Caporali, Giovanna Lucchini, Marta Tacchini, Luca Riccardo Chiveri, Mariaemma Rodegher, Letizia Leocani

Open source

DOI: 10.3390/biomedicines14102262
Published: 2026-10-06
Container: Biomedicines
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/biomedicines14102262,
  title = {A Feasible Machine Learning Approach to Improve Cognitive Screening in Multiple Sclerosis},
  author = {Michelangelo Dini and Letizia Turchi and Giulia Gamberini and Alessandra Caporali and Giovanna Lucchini and Marta Tacchini and Luca Riccardo Chiveri and Mariaemma Rodegher and Letizia Leocani},
  year = {2026},
  journal = {Biomedicines},
  doi = {10.3390/biomedicines14102262},
  url = {https://doi.org/10.3390/biomedicines14102262}
}

RIS

TY  - JOUR
TI  - A Feasible Machine Learning Approach to Improve Cognitive Screening in Multiple Sclerosis
AU  - Michelangelo Dini
AU  - Letizia Turchi
AU  - Giulia Gamberini
AU  - Alessandra Caporali
AU  - Giovanna Lucchini
AU  - Marta Tacchini
AU  - Luca Riccardo Chiveri
AU  - Mariaemma Rodegher
AU  - Letizia Leocani
PY  - 2026
JO  - Biomedicines
DO  - 10.3390/biomedicines14102262
UR  - https://doi.org/10.3390/biomedicines14102262
ER  -

APA

Dini, M., Turchi, L., Gamberini, G., Caporali, A., Lucchini, G., Tacchini, M., Chiveri, L. R., Rodegher, M., & Leocani, L. (2026). A Feasible Machine Learning Approach to Improve Cognitive Screening in Multiple Sclerosis. Biomedicines. https://doi.org/10.3390/biomedicines14102262

Source records

crossref · retrieved 2026-11-10T19:09:07.807Z