Differences

This shows you the differences between two versions of the page.

--- natural_language_processing [2022/07/01 00:56] – administrador
+++ natural_language_processing [2022/07/01 01:01] (current) – administrador
@@ Line 1: / Line 1: @@
 ====== Natural language processing ======
-Natural [[language]] processing (NLP) is a subfield of computer science, information engineering, and [[artificial intelligence]] concerned with the interactions between [[computer]]s and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
+Natural [[language]] processing (NLP) is a subfield of computer science, information engineering, and [[artificial intelligence]] concerned with the interactions between [[computer]]s and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language [[data]].
 ----
-A significant portion of [[data]] in [[Electronic Health Record]]s is only available as unstructured [[text]], such as surgical or finding [[report]]s, clinical notes, and discharge summaries. To use this data for secondary purposes, [[natural language processing]] (NLP) tools are required to extract structured information. Furthermore, for interoperable use, [[harmonization]] of the data is necessary. HL7 [[Fast Healthcare Interoperability Resources]] (FHIR), an emerging [[standard]] for exchanging healthcare data, defines such a structured format. For German-language medical NLP, the tool [[Averbis Health Discovery]] (AHD) represents a comprehensive solution. AHD offers a proprietary REST interface for text analysis pipelines. To build a bridge between FHIR and this interface, we created a service that translates the communication around AHD from and to FHIR. The application is available under an open-source license
+A significant portion of [[data]] in [[Electronic Health Record]]s is only available as unstructured [[text]], such as surgical or finding [[report]]s, clinical notes, and discharge summaries. To use this data for secondary purposes, [[natural language processing]] (NLP) tools are required to extract structured information. Furthermore, for interoperable use, [[data harmonization]]. HL7 [[Fast Healthcare Interoperability Resources]] (FHIR), an emerging [[standard]] for exchanging healthcare data, defines such a structured format. For German-language medical NLP, the tool [[Averbis Health Discovery]] (AHD) represents a comprehensive solution. AHD offers a proprietary REST interface for text analysis pipelines. To build a bridge between FHIR and this interface, we created a service that translates the communication around AHD from and to FHIR. The application is available under an open-source license
 ((Scheible R, Caliskan D, Fischer P, Thomczyk F, Zabka S, Schneider H, Boeker M, Schulz S, Prokosch HU, Gulden C. AHD2FHIR: A Tool for Mapping of Natural Language Annotations to Fast Healthcare Interoperability Resources - A Technical Case Report. Stud Health Technol Inform. 2022 Jun 6;290:32-36. doi: 10.3233/SHTI220026. PMID: 35672965.)).