دورية أكاديمية
Applying Natural Language Processing to ClinicalTrials.gov: mRNA cancer vaccine case study
| العنوان: | Applying Natural Language Processing to ClinicalTrials.gov: mRNA cancer vaccine case study |
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| المؤلفون: | Bianca Vora, Denison Kuruvilla, Chloe Kim, Michael Wu, Colby S. Shemesh, Gillie A. Roth |
| المصدر: | Clinical and Translational Science, Vol 16, Iss 12, Pp 2417-2420 (2023) |
| بيانات النشر: | Wiley, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Therapeutics. Pharmacology LCC:Public aspects of medicine |
| مصطلحات موضوعية: | Therapeutics. Pharmacology, RM1-950, Public aspects of medicine, RA1-1270 |
| الوصف: | Abstract Recently, biotechnology and pharmaceutical industries have made strides to adopt and implement Natural Language Processing (NLP) to address challenges faced when extracting and synthesizing high volumes of information found in unstructured and semistructured text. Here we present, and provide a summary of the findings from, a use case where NLP and text mining methodologies were used to extract clinical trial data from ClinicalTrials.gov for mRNA cancer vaccines. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1752-8062 1752-8054 |
| Relation: | https://doaj.org/toc/1752-8054; https://doaj.org/toc/1752-8062 |
| DOI: | 10.1111/cts.13648 |
| URL الوصول: | https://doaj.org/article/7ef953fbeeb640889dffb00922151dc4 |
| رقم الأكسشن: | edsdoj.7ef953fbeeb640889dffb00922151dc4 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17528062 17528054 |
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| DOI: | 10.1111/cts.13648 |