Modeling Dutch Medical Texts for Detecting Functional Categories and Levels of COVID-19 Patients (2022.lrec-1)
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Jenia Kim, Stella Verkijk, Edwin Geleijn, Marieke van der Leeden, Carel Meskers, Caroline Meskers, Sabina van der Veen, Piek Vossen, Guy Widdershoven
| Challenge: | Electronic Health Records contain a lot of information in natural language that is not expressed in structured clinical data. |
| Approach: | They propose a Dutch language model that can determine the functional level of patients according to a WHO coding framework. |
| Outcome: | The proposed model can determine the functional level of patients according to a WHO coding framework. |
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