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Found 10 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.
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
In this work, we propose a new evaluation scheme to model human judgments in 7 NLP tasks, based on the fine-grained mismatches between a pair of texts.
Do We Still Need Clinical Language Models?
To investigate this question, we conduct an extensive empirical analysis of 12 language models, ranging from 220M to 175B parameters, measuring their performance on 3 different clinical tasks that test their ability to parse and reason over electronic health records.
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care.
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)
In sub-task A, the goal was to determine if a statement is supported, refuted or unknown in relation to a table.
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.
WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
We present the Worldwide Non-pharmaceutical Interventions Tracker for COVID-19 (WNTRAC), a comprehensive dataset consisting of over 6, 000 NPIs implemented worldwide since the start of the pandemic.
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned
Medication timelines have been shown to be effective in helping physicians visualize complex patient medication information.
