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Found 4 papers, 1 papers with code
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
We perform experiments to validate the quality of the dataset and set benchmarks for question to logical form learning that helps answer questions on this dataset.
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization
In our system, we first used a transformer-based encoder-decoder model to generate top N candidate impression summaries for a report, then trained another transformer-based model to predict a 14-observations-vector of the impression based on the findings and background of the report, and finally, utilized this vector to re-rank the candidate summaries.
Towards Generalizable Methods for Automating Risk Score Calculation
Clinical risk scores enable clinicians to tabulate a set of patient data into simple scores to stratify patients into risk categories.
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
Understanding medication events in clinical narratives is essential to achieving a complete picture of a patient's medication history.
