We propose and develop an effective re-ranking setup adapted to CT retrieval considering different learning objectives for training. We evaluate its quality ...
Jul 1, 2023 · The re-ranking strategy, based on our training schema, consistently enhances CT retrieval and shows improved performance by 15\% in terms of ...
We propose and develop an effective re-ranking setup adapted to CT retrieval considering different learning objectives for training. We evaluate its quality ...
Aug 1, 2023 · This extracted information is used to boost the importance of disease and drug mentions in both query and index for lexical retrieval.
Moreover, our proposed re-ranking schema shows promising effectiveness compared to larger neural models, even with limited training data. These findings offer ...
This package serves as basis for the paper: "Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking" by Wojciech ...
The re-ranking strategy, based on our training schema, consistently enhances CT retrieval and shows improved performance by 15\% in terms of precision at ...
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Effective matching of patients to clinical trials using entity extraction and neural re-ranking · Journal of Biomedical Informatics, July 2023 · 10.1016/j.jbi.
8 days ago · Clinical trials examine the effectiveness of medical interventions and provide crucial evidence that can be used to guide clinical practice.
Oct 9, 2024 · This study investigates the use of Large Language Models (LLMs) for matching patients to clinical trials (CTs) within an information ...