Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Analysis of Electronic Health Records to Identify the Patient's Treatment Lines: Challenges and Opportunities (CORE:C)
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
The automatic reconstruction of the patient?s treatment lines from their Electronic Health Records (EHRs) is a significant step towards improving the quality and the safety of the healthcare deliveries. With the recent rapid increase in the adaption of EHRs and the rapid development of computational science, we can discover new insights from the information stored in EHRs. However, this is still a challenging task, being unstructured data analysis one of them. In this paper, we focus on the most common challenges for reconstructing the patient?s treatment lines, which are the Named Entity Recognition (NER), temporal relation identification and the integration of structured results. We introduce our Natural Language Processing (NLP) framework, which deals with the aforementioned challenges. In addition, we focus on a real use case of patients, suffering from lung cancer to extract patterns associated with the treatment of the disease that can help clinicians to analyze toxicities and patterns depending on the lines of treatments given to the patient.
Internacional
Si
Nombre congreso
SGAI: International Conference on Innovative Techniques and Applications of Artificial Intelligence
Tipo de participación
960
Lugar del congreso
Cambridge, United Kingdom
Revisores
Si
ISBN o ISSN
0000-0000
DOI
10.1007/978-3-030-34885-4_33
Fecha inicio congreso
17/12/2019
Fecha fin congreso
19/12/2019
Desde la página
437
Hasta la página
442
Título de las actas
Artificial Intelligence XXXVI. 39th SGAI International Conference on Artificial Intelligence, AI 2019, Cambridge, UK, December 17?19, 2019, Proceedings
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Marjan Najafabadipour (UPM)
  • Autor: Alejandro Rodriguez Gonzalez (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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