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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...
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| Vydáno v: | RMD Open |
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| Hlavní autoři: | , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMJ Publishing Group
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8169494/ https://ncbi.nlm.nih.gov/pubmed/34059523 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/rmdopen-2020-001524 |
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