Natural Language Processing (NLP) and Big Data Analysis in the Health Sector.

This research line focuses on developing and applying advanced NLP techniques and deep learning algorithms for extracting, analysing, and utilising clinical information in unstructured electronic health records (EHRs). I

t aims to transform large volumes of textual data into structured and processable information, with the goal of improving clinical practice, supporting personalized medical decision-making, and facilitating research, especially in epidemiological studies that require the review and analysis of a large number of clinical records.

This approach not only promises significant optimization of resources and time in medical research but also adaptability to various clinical contexts and pathologies, underscoring the versatility and transformative potential of NLP and deep learning technologies in the health field.

Most notable projects: 

• Clinical Information Extraction Using Deep Learning and Big Data Techniques (DeepEMR)