Integrating advanced data processing technologies into healthcare has shifted the medical studies paradigm. These evolve from data collection into management and analysis of Electronic Health Records (EHR) data. This change improved patient care and expanded the scope of clinical research through the secondary usage of existing data. Even though this problem was already solved in other initiatives, it raised new challenges, namely regarding cohort definition, data discovery, and evaluating the study feasibility. There are database catalogues to help in those tasks, but these fail in some cases due to insufficient information. Therefore, in this paper, we address this challenge by proposing a baseline method for information retrieval, including a synthetic dataset for further research. The information present in the dataset was generated from metadata extracted from real-world databases, which represents real problems that do not yet have a solution. The source code of this work is available at http://github.com/bioinformatics-ua/HealthDBFinder.

Over the last two years, the COVID-19 pandemic has affected hundreds of millions of people around the world. As in many crises, people turn to social media platforms, like Twitter, to communicate and share information. Twitter datasets have been used over the years in many research studies to extract valuable information. Therefore, several large COVID-19 Twitter datasets have been released over the last two years. However, none of these datasets contains only Portuguese Tweets, despite the Portuguese Language being reported as one of the top five languages used on Twitter. In this paper, we present the first large-scale Portuguese COVID-19 Twitter dataset. The dataset contains over 19 million Tweets spanning 2020 and 2021, allowing the entire pandemic to be analyzed. We also conducted a sentiment analysis on the dataset and correlated the various spikes in Tweet count and sentiment scores to various news articles and government announcements in Portugal and Brazil. The dataset is available at: https://github.com/bioinformatics-ua/Portuguese-Covid19-Dataset