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A Hybrid Semantic–Rule-Based NLP Framework Integrating DFCI and MSKCC Approaches for Clinical Trial Matching Using UMLS and FAISS.

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Title: A Hybrid Semantic–Rule-Based NLP Framework Integrating DFCI and MSKCC Approaches for Clinical Trial Matching Using UMLS and FAISS.
Authors: Dubey, Aditya1 (AUTHOR) aditya.work132@gmail.com, Ambasta, Aditi1 (AUTHOR), Soni, Jenish1 (AUTHOR), Doshi, Prakshal2 (AUTHOR), Rane, Mrunal Rupesh1 (AUTHOR), Kanani, Pratik1 (AUTHOR)
Source: Ingénierie des Systèmes d'Information. Sep2025, Vol. 30 Issue 9, p2285-2295. 11p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Ingénierie+des+Systèmes+d'Information%22">Ingénierie des Systèmes d'Information</searchLink>. Sep2025, Vol. 30 Issue 9, p2285-2295. 11p.
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        Value: 10.18280/isi.300906
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: A Hybrid Semantic–Rule-Based NLP Framework Integrating DFCI and MSKCC Approaches for Clinical Trial Matching Using UMLS and FAISS.
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              M: 09
              Text: Sep2025
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              Y: 2025
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