Renata Vieira
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View article: A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being
A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being Open
Background: While interventions have been designed which use extended reality (XR) technology in promoting physical, mental and social well-being through cultural heritage experiences, well-defined methodologies for the assessment of such …
View article: Explaining Machine Learning: A Deeper Look into Admission Prediction
Explaining Machine Learning: A Deeper Look into Admission Prediction Open
The popularization of artificial intelligence solutions in both research and industry that has been occurring due to the rise of tools such as the GPT, Gemini and Claude large language models has revitalized research in the area. There are…
View article: A Metaverse-based approach for financial literacy in Brazilian vocationalschool
A Metaverse-based approach for financial literacy in Brazilian vocationalschool Open
This article proposes a pioneering approach to teaching Financial Education in Brazilian schools by leveraging the immersive world of Metaverse Games, specifically within the Roblox platform. Financial literacy is a critical global skill, …
View article: A Pipeline for the Analysis of User Interactions in YouTube Comments: A Hybridization of LLMs and Rule-Based Methods
A Pipeline for the Analysis of User Interactions in YouTube Comments: A Hybridization of LLMs and Rule-Based Methods Open
This study presents a novel approach to analyze user interactions on YouTube, addressing the platform's API limitations in capturing comprehensive conversation chains. By combining Large Language Models (LLMs) and rule-based methods, we de…
View article: Overcoming the AI “Black Box” in Political Analysis: A Hybrid Approach
Overcoming the AI “Black Box” in Political Analysis: A Hybrid Approach Open
NLP techniques are increasingly valuable for Political Science, especially in computational text analysis, due to the growing volume of digital text data. Machine learning, particularly neural networks, has boosted NLP's capacity, often su…
View article: A Natural Language Processing approach to Complexity Assessment of 18th-century health literature
A Natural Language Processing approach to Complexity Assessment of 18th-century health literature Open
In this paper, we present an experiment for complexity-level analysis of Portuguese texts from the 18th century using NLP tools. The 18th century was the time for the realization of a new world that had been built since the Renaissance, it…
View article: Semantic Textual Similarity for Abridging Clinical Notes in Brazilian Electronic Health Records
Semantic Textual Similarity for Abridging Clinical Notes in Brazilian Electronic Health Records Open
With the growing importance of the use of information from electronic patient records in the development of machine learning models, there is also a need for a holistic understanding of those records, in particular abridging the clinical n…
View article: Proceedings of the CIDEHUS Meeting on Digital Humanities
Proceedings of the CIDEHUS Meeting on Digital Humanities Open
The Interdisciplinary Center for History, Cultures and Societies of the University of Évora (CIDEHUS) brings together researchers from the Human and Social Sciences, Information and Documentation Sciences, who, in recent years, together wi…
View article: Clinical Screening Prediction in the Portuguese National Health Service: Data Analysis, Machine Learning Models, Explainability and Meta-Evaluation
Clinical Screening Prediction in the Portuguese National Health Service: Data Analysis, Machine Learning Models, Explainability and Meta-Evaluation Open
This paper presents an analysis of the calls made to the Portuguese National Health Contact Center (SNS24) during a three years period. The final goal was to develop a system to help nurse attendants select the appropriate clinical pathway…
View article: Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks
Benchmarking the BRATECA Clinical Data Collection for Prediction Tasks Open
Expanding the usability of location-specific clinical datasets is an important step toward expanding research into national medical issues, rather than only attempting to generalize hypotheses from foreign data. This means that benchmarkin…
View article: OLID-BR: Offensive Language Identification Dataset for Brazilian Portuguese
OLID-BR: Offensive Language Identification Dataset for Brazilian Portuguese Open
Social media has transformed the way society is connect. Although there are many advantages to such large scale connection, there are unquestionable drawbacks, for example in the way fake news is easily spread and in particular the vast di…
View article: Multi-Agent Interaction to Assist Visually-Impaired and Elderly People
Multi-Agent Interaction to Assist Visually-Impaired and Elderly People Open
A voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In parti…
View article: Clinical Trial Classification of SNS24 Calls with Neural Networks
Clinical Trial Classification of SNS24 Calls with Neural Networks Open
SNS24, the Portuguese National Health Contact Center, is a telephone and digital public service that provides clinical services. SNS24 plays an important role in the identification of users’ clinical situations according to their symptoms.…
View article: Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers Open
Background With the rapid adoption of electronic medical records (EMRs), there is an ever-increasing opportunity to collect data and extract knowledge from EMRs to support patient-centered stroke management. Objective This study aims to co…
View article: Foundational ontologies meet ontology matching: A survey
Foundational ontologies meet ontology matching: A survey Open
Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine le…
View article: Parish Memories with Named Entities
Parish Memories with Named Entities Open
The Parish Memories with Named Entities dataset consists of 366 transcribed texts from the original handwritten collection, the Parish Memories (1758-1761), where each text contains the description of a Portuguese parish. The data consists…
View article: Parish Memories with Named Entities
Parish Memories with Named Entities Open
The Parish Memories with Named Entities dataset consists of 366 transcribed texts from the original handwritten collection, the Parish Memories (1758-1761), where each text contains the description of a Portuguese parish. The data consists…
View article: Parish Memories with Named Entities
Parish Memories with Named Entities Open
The Parish Memories with Named Entities dataset consists of 366 transcribed texts from the original handwritten collection, the Parish Memories (1758-1761), where each text contains the description of a Portuguese parish. The data consists…
View article: Related Named Entities Classification in the Economic-Financial Context
Related Named Entities Classification in the Economic-Financial Context Open
The present work uses the Bidirectional Encoder Representations from Transformers(BERT) to process a sentence and its entities and indicate whether two named entities present in a sentence are related or not, constituting a binary classifi…
View article: Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers (Preprint)
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers (Preprint) Open
BACKGROUND With the rapid adoption of electronic medical records (EMRs), there is an ever-increasing opportunity to collect data and extract knowledge from EMRs to support patient-centered stroke management. OBJECTIVE This study aims to…
View article: Enriching the 1758 Portuguese Parish Memories (Alentejo) with Named Entities
Enriching the 1758 Portuguese Parish Memories (Alentejo) with Named Entities Open
This work presents an enriched version of the Parish Memories (1758–1761), an essential Portuguese historical source manually transcribed. It is enriched with annotations of named entities of the types PERSON, LOCATION, and ORGANIZATION. T…
View article: Opportunities and Challenges in Fall Risk Management using EHRs and Artificial Intelligence: A Systematic Review
Opportunities and Challenges in Fall Risk Management using EHRs and Artificial Intelligence: A Systematic Review Open
Electronic Health Records (EHRs) have led to valuable improvements to hospital practices by integrating patient information. In fact, this data can be used to develop clinical risk prediction tools. We performed a systematic literature rev…