This paper summarises the results of the third edition of the eHealth Knowledge Discovery
(KD) challenge, hosted at the Iberian Language Evaluation Forum 2020. The eHealth-KD …

Abstract Background We present FHIR-PYrate, a Python package to handle the full clinical
data collection and extraction process. The software is to be plugged into a modern hospital …

Background The constant growth of biomedical data is accompanied by the need for new
methodologies to effectively and efficiently extract machine-readable knowledge for training …

Corpora are one of the most valuable resources at present for building machine learning
systems. However, building new corpora is an expensive task, which makes the automatic …

The objective of Geo-IA is to research, design and implement a Geo-Smart Artificial
Intelligence technology platform for public and private business organizations. The GeoIA …

This paper presents the preliminary results of an ongoing project that analyzes the growing
body of scientific research published around the COVID-19 pandemic. In this research, a …

This project pursues the dynamic modeling at a spatial-temporal level of digital entities in
social media for predicting their behavior. Firstly, digital entities are modelled by identifying …

In Natural Language Processing (NLP) and supervised machine learning, the scarcity of
labeled corpora results in poor performance of machine learning models. In the medical …

There is a growing interest in automatic knowledge discovery in plain text documents.
Automation enables the analysis of massive collections of information. Such efforts are …

This paper presents the preliminary results of an ongoing project that analyzes the growing
body of scientific research published around the COVID-19 pandemic. In this research, a …