An NLP Framework for the Extraction of Concept Measurements from Radiology and Pathology Notes
Natural language processing (NLP) tools can automate the identification of cancer patients eligible for specific pathways. We developed and validated a cancer agnostic, rules-based NLP framework to extract the dimensions and measurements of several concepts from pathology and radiology reports. This framework was then efficiently and cost-effectively deployed to identify patients eligible for breast, lung, and prostate cancers clinical pathways.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:310 |
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| Enthalten in: |
Studies in health technology and informatics - 310(2024) vom: 25. Jan., Seite 1446-1447 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bowles, Annie [VerfasserIn] |
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| Links: |
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| Themen: |
Clinical pathways |
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| Anmerkungen: |
Date Completed 26.01.2024 Date Revised 26.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.3233/SHTI231237 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Natural language processing (NLP) tools can automate the identification of cancer patients eligible for specific pathways. We developed and validated a cancer agnostic, rules-based NLP framework to extract the dimensions and measurements of several concepts from pathology and radiology reports. This framework was then efficiently and cost-effectively deployed to identify patients eligible for breast, lung, and prostate cancers clinical pathways | ||
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| 700 | 1 | |a Lynch, Julie A |e verfasserin |4 aut | |
| 700 | 1 | |a Alba, Patrick R |e verfasserin |4 aut | |
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