Tag: Disease Progression
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Noninvasive imaging machine learning algorithm for identifying disease progression in advanced hepatocellular carcinoma patients undergoing second-line systemic therapy
Discover a noninvasive imaging-based machine learning algorithm to detect disease progression in advanced hepatocellular carcinoma (HCC) patients. Learn more!
Bioinformatics and Machine Learning for Primary Sjögren’s Syndrome Diagnostic Model Creation and Validation
This article focuses on Primary Sjögren's Syndrome (pSS), a chronic autoimmune disorder with xerophthalmia and xerostomia as its acute symptoms. It mainly affects women and may also affect other body parts. We present a diagnostic predictive model for pSS, generated from a combination of statistical analysis and machine-learning algorithms, with an impressive accuracy performance and excellent results in its validation set.