In the present study, in order to facilitate early diagnosis, we employed ML models to identify the stronger predictors for SLE. In our opinion, the recognition of these features, by providing SLE "redflags", could help not only the rheumatologist but also the general practitioners.

Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort / Fulvia Ceccarelli; Matteo Lapucci; Giulio Olivieri; Alessio Sortino; Francesco Natalucci; Francesca Romana Spinelli; Cristiano Alessandri; Marco Sciandrone; Fabrizio Conti. - In: JOINT BONE SPINE. - ISSN 1297-319X. - ELETTRONICO. - (2021), pp. 0-0. [10.1016/j.jbspin.2021.105292]

Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort.

Matteo Lapucci;Alessio Sortino;Marco Sciandrone;
2021

Abstract

In the present study, in order to facilitate early diagnosis, we employed ML models to identify the stronger predictors for SLE. In our opinion, the recognition of these features, by providing SLE "redflags", could help not only the rheumatologist but also the general practitioners.
2021
0
0
Fulvia Ceccarelli; Matteo Lapucci; Giulio Olivieri; Alessio Sortino; Francesco Natalucci; Francesca Romana Spinelli; Cristiano Alessandri; Marco Scian...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1247905
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