Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …

Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying
eligible trial participants is resource-intensive when relying on manual review of clinical …

Clinical narratives are a valuable source of information for both patient care and biomedical
research. Given the unstructured nature of medical reports, specific automatic techniques …

The huge volume of textual information generated in hospitals constitutes an essential but
underused asset that could be exploited to improve patient care and management. The …

Objective: To select, present, and summarize the best papers published in 2018 in the field
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …

This study presents an integrated approach for automatically extracting and structuring
information from medical reports, captured as scanned documents or photographs, through …

The medical field has experienced a series of transformations with the adoption of new
technologies. One of the aspects that experienced significant changes is how a patient's …

Objectives: To analyze the content of publications within the medical Natural Language
Processing (NLP) domain in 2018. Methods: Automatic and manual pre-selection of …

This thesis focuses on automatically extracting valuable information from medical records.
The specific goal of this thesis is to fill the Neoplasm incidence report from the National …