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Development of a Systematic Text Annotation Standard to Extract Social Support Information form Electronic Medical
Camila Volij1, Santiago Esteban1
1Family and Community Medicine Division, Hospital Italiano, Buenos Aires, Argentina.
Abstract:
The influence of social relationships on mortality is comparable with that of standard clinical factors. In order to extract this information via supervised NLP algorithms, clinical notes have to be annotated manually. At present we did not find any systematic annotation standards to extract social support. In this work, we developed a systematic text annotation standard to detect social support in couples from electronic medical records.
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