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MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Medical Time Series Representation Learning, known as MTS-LOF, uses the strengths of contrastive learning and Masked Autoencoder (MAE) methods, providing more sophisticated, context-rich representations, while also clarifying the interplay between temporal and structural dependencies in healthcare data. MTS-LOF is ideal for integration into numerous...
Published: 8/23/2024
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Inventor(s): Ao Li, Huayu Li, Ana Carreon-Rascon
Keywords(s):
Category(s): Technology Classifications > Software & Information Technology > Web & Internet, Technology Classifications > Software & Information Technology > Health IT
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