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Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

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posted on 2020-09-14, 17:02 authored by Luca Navarini, Francesco Caso, Luisa Costa, Damiano Currado, Liliana Stola, Fabio Perrotta, Lorenzo Delfino, Michela Sperti, Marco Deriu, Piero Ruscitti, Viktoriya Pavlych, Addolorata Corrado, Giacomo Di Benedetto, Marco Tasso, Massimo Ciccozzi, Alice Laudisio, Claudio Lunardi, Francesco Paolo Cantatore, Ennio Lubrano, Roberto Giacomelli, Raffaele Scarpa, Antonella Afeltra

The above summary slide represents the opinions of the authors. For a full list of declarations, including funding and author disclosure statements, please see the full text online (see “read the peer-reviewed publication” opposite).

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Ankylosing spondylitis (AS)Cardiovascular (CV) risk algorithms C-reactive protein (CRP)Machine learning (ML)

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CC BY-NC 4.0

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

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