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Found 4 papers, 3 papers with code
Automated multilabel diagnosis on electrocardiographic images and signals
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data.
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention
We identify risk factors for both readmission and mortality outcomes and demonstrate that our framework can be used to develop dynamic problem lists that present clinical problems along with their quantitative importance.
Explainable Prediction of Adverse Outcomes Using Clinical Notes
Clinical notes contain a large amount of clinically valuable information that is ignored in many clinical decision support systems due to the difficulty that comes with mining that information.
Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping
In the five chief complaints, we find between 2 and 6 clusters, with the peak mean pairwise ARI between subsequent training iterations to range from 0. 35 to 0. 74.
