Effective matching of patients to clinical trials using entity extraction and neural re-ranking

Clinical trials (CTs) often fail due to inadequate patient recruitment. Finding eligible patients involves comparing the patient’s information with the CT eligibility criteria. Automated patient matching offers the promise of improving the process, yet the main difficulties of CT retrieval lie in th...

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Veröffentlicht in:	Journal of biomedical informatics 2023-08, Vol.144, p.104444-104444, Article 104444
Hauptverfasser:	Kusa, Wojciech, Mendoza, Óscar E., Knoth, Petr, Pasi, Gabriella, Hanbury, Allan
Format:	Artikel
Sprache:	eng
Schlagworte:	Clinical natural language processing Clinical trials matching Eligibility criteria Information retrieval Neural re-ranking Query reformulation TREC clinical trials
Online-Zugang:	Volltext
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