Abstract Number: 0920 • ACR Convergence 2020
Machine Learning Assisted Prediction of Progression in Systemic Sclerosis Patients: An Approach to Concise, Tailored Model Construction Using Outpatient Clinical Data
Background/Purpose: Systemic Sclerosis (SSc) disease course can range from mild, to very severe with progressive organ involvement within months. Guidelines for follow-up are mainly based…Abstract Number: 1396 • ACR Convergence 2020
Digital Artery Volume Index (Davix©) Predicts Onset of Future Digital Ulcers in Patients with Systemic Sclerosis
Background/Purpose: Neointima proliferation is a key pathologic feature of Systemic Sclerosis (SSc), causing arterial vessel narrowing. It is a recognised culprit pathological lesion in Digital…
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