Training and modernisation of public administrations and services – SATDAP – Training of Public Administration (Q2913555)
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Project Q2913555 in Portugal
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Training and modernisation of public administrations and services – SATDAP – Training of Public Administration |
Project Q2913555 in Portugal |
Statements
253,213.0 Euro
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297,898.0 Euro
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85.0 percent
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7 January 2020
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31 December 2020
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CENTRO HOSPITALAR UNIVERSITÁRIO DE SÃO JOÃO, E.P.E.
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Q3003572 (Deleted Item)
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41°8'58.02"N, 8°36'38.84"W
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A execução da operação CliKODE permitirá automatizar a codificação clínica de procedimentos e diagnósticos utilizando técnicas de Inteligência Artificial, com desenvolvimento de um Motor de Aprendizagem baseado em processamento de linguagem natural de textos clínicos não estruturados para apoio à classificação ICD-10-PCS. O projeto terá como contexto a produção do CHUSJ e a validação científica da FMUP. (Portuguese)
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The execution of the CliKODE operation will allow to automate the clinical coding of procedures and diagnoses using Artificial Intelligence techniques, with the development of a learning engine in natural language processing of unstructured clinical texts to support the ICD-10-PCS classification. The project will have as context the production of CHUSJ and the scientific validation of FMUP. (English)
8 July 2021
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La mise en œuvre de l’opération CliKODE permettra d’automatiser le codage clinique des procédures et des diagnostics à l’aide de techniques d’intelligence artificielle, avec le développement d’un moteur d’apprentissage basé sur le traitement en langage naturel des textes cliniques non structurés pour soutenir la classification CIM-10-PCS. Le projet aura pour contexte la production de CHUSJ et la validation scientifique du FMUP. (French)
6 December 2021
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Die Durchführung des CliKODE-Betriebs wird es ermöglichen, die klinische Kodierung von Verfahren und Diagnosen mithilfe künstlicher Intelligenzstechniken zu automatisieren, wobei eine Lernmaschine entwickelt wird, die auf der natürlichen Sprachverarbeitung unstrukturierter klinischer Texte basiert, um die ICD-10-PCS-Klassifikation zu unterstützen. Das Projekt wird im Kontext der Produktion von CHUSJ und der wissenschaftlichen Validierung von FMUP stehen. (German)
14 December 2021
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Porto
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Identifiers
POCI-05-5762-FSE-000230
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