Extracting patient lifestyle characteristics from Dutch clinical text with BERT models

Abstract Background BERT models have seen widespread use on unstructured text within the clinical domain. However, little to no research has been conducted into classifying unstructured clinical notes on the basis of patient lifestyle indicators, especially in Dutch. This article aims to test the feasibility of deep BERT models on the task of patient lifestyle classification, as well as introducing an experimental framework that is easily reproducible in future research. Methods This study makes use of unstructured general patient text data from HagaZiekenhuis, a large hospital in The Netherla... Mehr ...