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Found 5 papers, 0 papers with code
Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency Department
In the experimental analysis, we show that mutli-modality improves the prediction performance compared with models trained solely on text or vital signs.
Fairness in TabNet Model by Disentangled Representation for the Prediction of Hospital No-Show
In this wo rk, we are interested in developing deep learning models for no-show prediction based on tabular data while ensuring fairness properties.
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
We propose a new FL model called Federated Uncertainty-Aware Learning Algorithm (FUALA) that improves on Federated Averaging (FedAvg) in the context of EHR.
Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels
The network is alternately trained on epochs with the clean dataset with a simple cross-entropy loss and on next epoch with the noisy dataset and a loss corrected with the estimated corruption matrix.
Genetic approach for arabic part of speech tagging
With the growing number of textual resources available, the ability to understand them becomes critical.
