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Found 7 papers, 5 papers with code
LLM aided semi-supervision for Extractive Dialog Summarization
Generating high-quality summaries for chat dialogs often requires large labeled datasets.
Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury
Here, we pioneer a causal modeling approach using observational data to estimate a lower bound of the PC (PC$_{low}$).
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Despite their success, Machine Learning (ML) models do not generalize effectively to data not originating from the training distribution.
Autoencoder-based prediction of ICU clinical codes
However, the adversarial autoencoder achieved the best performance when using the codes plus variables (F1=0. 32, MAP=0. 25).
Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes
We investigate different natural language processing (NLP) approaches based on contextualised word representations for the problem of early prediction of lung cancer using free-text patient medical notes of Dutch primary care physicians.
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels
We demonstrate that the sparse mechanism approach outperforms the dense one for the local self-attention in terms of predictive performance with a publicly available dataset, and puts higher attention to prespecified relevant directive words.
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
This often leads to drop in the performance of neural models for prospective patients, especially in terms of their calibration.
