Routine biomarker profile for the prediction of clinical phenotypes of adult-onset Still's disease using unsupervised clustering algorithm.

Abstract excerpt

AIM: This study addresses the challenge of predicting the course of Adult-onset Still's disease (AoSD), a rare systemic autoinflammatory disorder of unknown origin. Precise prediction is crucial for effective clinical management, especially in the absence of specific laboratory indicators. METHODS: We assessed the effectiveness of combining traditional biomarkers with the k-medoids unsupervised clustering...

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