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Found 3 papers, 1 papers with code
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology
Retrieving information from EHR systems is essential for answering specific questions about patient journeys and improving the delivery of clinical care.
Distilling Large Language Models for Matching Patients to Clinical Trials
To address these issues, this study presents the first systematic examination of the efficacy of both proprietary (GPT-3. 5, and GPT-4) and open-source LLMs (LLAMA 7B, 13B, and 70B) for the task of patient-trial matching.
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
A timeline provides one of the most effective ways to visualize the important historical facts that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent information in textual form.
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