Document-level adverse drug reaction event extraction on electronic health records in Spanish
- Sara Santiso
- Arantza Casillas
- Alicia Pérez
- Maite Oronoz
- Koldo Gojenola
ISSN: 1135-5948
Año de publicación: 2016
Número: 56
Páginas: 49-56
Tipo: Artículo
Otras publicaciones en: Procesamiento del lenguaje natural
Objetivos de desarrollo sostenible
Resumen
Presentamos un sistema de extracción de Reacciones Adversas a Medicamentos (RAMs) para Informes Médicos Electrónicos escritos en español. El objetivo del sistema es asistir a expertos en farmacia cuando tienen que decidir si un paciente padece o no una o más RAMs. El núcleo del sistema es un modelo predictivo inferido de un corpus etiquetado manualmente, que cuenta con características semánticas y sintácticas. Este modelo es capaz de extraer RAMs de parejas enfermedad-medicamento en un informe dado. Finalmente, las RAMs extraídas automáticamente son post-procesadas usando un heurístico para presentar la información de una forma compacta. Esta fase ofrece los medicamentos y enfermedades del documento con su frecuencia, y también une las parejas relacionadas como RAMs. En resumen, el sistema no sólo presenta las RAMs en el texto sino que también da información concisa a petición de los expertos en farmacia (los usuarios potenciales del sistema).
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