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NLP for SNOMED-CT Code Extraction by gogigorgonzola is a document available to read on EtoBox.

What is NLP for SNOMED-CT Code Extraction about?

This study explores the use of natural language processing (NLP) to automate the extraction of SNOMED-CT codes from both structured and unstructured pathological reports in an Italian Digital Pathology Department. Two NLP models, support vector machine (SVM) and long short-term memory (LSTM), were tested on 1163 reports, with SVM showing slightly better performance metrics. The findings suggest that AI tools can significantly improve the organization and retrieval of pathology data, addressing the challenge

Author

gogigorgonzola

Language

EN