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Found 4 papers, 1 papers with code
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Electronic health records (EHR) and claims data are rich sources of real-world data that reflect patient health status and healthcare utilization.
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning
Medical coding (MC) is an essential pre-requisite for reliable data retrieval and reporting.
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research.
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
Millions of unsolicited medical inquiries are received by pharmaceutical companies every year.
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