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New risk model is able to identify patients with a low risk of progression in systemic sclerosis
OBJECTIVES: To develop a prediction model to guide annual assessment of systemic sclerosis (SSc) patients tailored in accordance to disease activity. METHODS: A machine learning approach was used to develop a model that can identify patients without disease progression. SSc patients included in the...
Autores principales: | van Leeuwen, Nina Marijn, Maurits, Marc, Liem, Sophie, Ciaffi, Jacopo, Ajmone Marsan, Nina, Ninaber, Maarten, Allaart, Cornelia, Gillet van Dongen, Henrike, Goekoop, Robbert, Huizinga, Tom, Knevel, Rachel, De Vries-Bouwstra, Jeska |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169494/ https://www.ncbi.nlm.nih.gov/pubmed/34059523 http://dx.doi.org/10.1136/rmdopen-2020-001524 |
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