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Found 3 papers, 1 papers with code
Time Associated Meta Learning for Clinical Prediction
We view time-associated disease prediction as classification tasks at multiple time points.
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks
Learning to represent free text is a core task in many clinical machine learning (ML) applications, as clinical text contains observations and plans not otherwise available for inference.
Self-explaining Hierarchical Model for Intraoperative Time Series
Towards this end, we propose a hierarchical model combining the strength of both attention and recurrent models for intraoperative time series.
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