A NLP Pipeline for the Automatic Extraction of a Complete Microorganism’s Picture from Microbiological Notes

A NLP Pipeline for the Automatic Extraction of a Complete Microorganism’s Picture from Microbiological Notes

The Italian “Istituto Superiore di Sanità” (ISS) identifies hospital-acquired infections (HAIs) as the most frequent and serious complications in healthcare. HAIs constitute a real health emergency and, therefore, require decisive action from both local and national health organizations. Information...

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Bibliographic Details
Main Authors: Sara Mora, Jacopo Attene, Roberta Gazzarata, Daniele Roberto Giacobbe, Bernd Blobel, Giustino Parruti, Mauro Giacomini
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Personalized Medicine
Subjects:
hospital-acquired infections
international coding system
laboratory information systems
natural language processing
information extraction
Online Access:https://www.mdpi.com/2075-4426/12/9/1424

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https://www.mdpi.com/2075-4426/12/9/1424

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