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Research questionHow should uncertainty in machine-learning predictions from noisy medical biosignals be quantified and interpreted?EEG, ECG, EOG, and EMG often have poor signal-to-noise ratios, making model outputs difficult to interpret in clinical and assistive settings. Uncertainty estimates must therefore be understood in relation to how people and systems use these predictions.
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Health
Machine Learning
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Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Uncertainty Quantification in Machine Learning for Biosignal Applications -- A ReviewThe review covers 53 papers on uncertainty quantification for machine-learning tasks using EEG, ECG, EOG, and EMG. It examines existing methods, use cases, measures, theoretical frameworks, and evaluations, while identifying gaps in diagnostic applications and in interactions between people, systems, and uncertainty models.research paper · Sep 3, 2026
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