This arXiv paper presents a machine learning approach for sequential clinical diagnosis using uncertainty-guided latent trajectory learning. The method learns diagnostic trajectories in a latent space, using uncertainty estimates to improve diagnostic accuracy and robustness.
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Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis
ML method learns diagnostic trajectories in latent space by leveraging uncertainty estimates, improving robustness and accuracy in sequential clinical diagnosis.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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