Maria Chiara

Jan 17, 2025 | zenodo.org | Maria Chiara

DOI 10.5281/zenodo.14681066 Markdown [](https://doi.org/10.5281/zenodo.14681066) reStructuredText ..

Dec 3, 2024 | bmccancer.biomedcentral.com | Maria Chiara |Di Rauso |Paolo Giorgi |Reggio Emilia

This systematic review adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We followed the PRISMA 2020 Checklist, as reported in Table S1. Notably, no review protocol was registered before the start of the review process. A systematic search was independently performed by M.B. and J. R. for all articles published until December 2023, on “MEDLINE, EMBASE, CINAHL, SCOPUS, WEB OF SCIENCE”.

Oct 17, 2024 | diabetesjournals.org | Maria Chiara |Reggio Emilia |Di Bartolo |De Cosmo

Early, intensive glycemic control in T2D patients is associated with long-term benefits on cardiovascular disease (CVD) development. Evidence on benefits of achieving HbA1c targets close to normal values is scant. Subjects with newly-diagnosed T2D, without CVD at baseline, were identified in an Italian clinical registry (N=251,339). We adopted three definitions of early exposure periods (0–1, 0–2 and 0–3 years). Mean HbA1c was categorized into HbA1c 8.0%.

Sep 30, 2024 | zenodo.org | Maria Chiara

DOI 10.5281/zenodo.13863140 Markdown [](https://doi.org/10.5281/zenodo.13863140) reStructuredText ..

Jul 31, 2024 | eprints.gla.ac.uk | Maria Chiara

Zografopoulos, L., Iannino, M. C., Psaradellis, I. and Sermpinis, G. (2024) Industry return prediction via interpretable deep learning. European Journal of Operational Research, (doi: 10.1016/j.ejor.2024.08.032) (In Press)Text333888.pdf666kBAbstractWe apply an interpretable machine learning model, the LassoNet, to forecast and trade U.S. industry portfolio returns. The model combines a regularization mechanism with a neural network architecture.