Main Objectives of EDHER-MED

Our main objective is to increase the knowledge of health disorders through the analysis of medical documents using advanced techniques of natural language processing.

Basic NLP resources

  • Creation and annotation of different corpora.
  • Development and adaptation of data mining tools to identify medical concepts and relevant relations between them.
  • Temporal pattern extraction in patient EHRs.
  • Medical ontology enrichment.
  • Development of medical language models.

NLP technology to support early detection

  • Medical Information Extraction (timeline generation, diagnoses encoded as ICD, phenotyping, ECG-EHR joint processing).
  • Pattern discovery for early detection of risks.
  • Clinical Argument Mining.

    • NLP Tools

  • Early detection of mental health risks.
  • Early detection of HIV.
  • Early detection of mental health and social problems in children affected by rare diseases.
  • Potential risk factors identification to prevent cardiovascular complications.

    • PROYECTOS DE GENERACIÓN DEL CONOCIMIENTO 2022 - ENIGMA (PID2022-136522OB-C21) and EDHIA (PID2022-136522OB-C22)