Henrique Dias Pereira dos Santos

• Master in Computer Science
• PhD Student at Pontifical Catholic University of Rio Grande do Sul

This work compares POS and parsing systems for the Portuguese language. We analyse available features, tagsets, and compare the results of POS tagging, and syntactic structure identification by means of both intrinsic and extrinsic evaluation methods. For such, we use in this work well-known metric for parser evaluation such as bracket cross, leaf...

The de-identification of clinical notes is crucial for the reuse of electronic clinical data and is a common Named Entity Recognition (NER) task. Neural language models provide a great improvement in Natural Language Processing (NLP) tasks, such as NER, when they are integrated with neural network methods. This paper evaluates the use of current st...

Objetivo: Analisar a concordância entre as evoluções diárias nos prontuários eletrônicos dos pacientes e as notificações no Sistema Informatizado de Notificação no registro de quedas. Método: Estudo retrospectivo do tipo coorte, realizado em um hospital público de Porto Alegre, no Rio Grande do Sul, Brasil. Compuseram este estudo 367 pacientes, 441...

Early recognition of clinical deterioration is one of the main steps for reducing inpatient morbidity and mortality. The challenging task of clinical deterioration identification in hospitals lies in the intense daily routines of healthcare practitioners, in the unconnected patient data stored in the Electronic Health Records (EHRs) and in the usag...

The use of social media is becoming highly present in our lives. It is through images, texts, and videos that human beings try to communicate in social networks and expose their opinions in the face of everyday events. Due to the increased volume of data transmitted over the Internet, it becomes difficult to do a human analysis of this content. For...

Medical records of patients are important in the field of medical research. However, to obtain a patient identity, a Health Insurance Portability and Accountability Act (HIPAA) is required, which must be removed prior to the survey. Manual de-identification on large amounts of medical records data is expensive, time-consuming and error prone, requi...

We present MeSHx-Notes, MeSH eXtended for clinical notes, a multi-language web system based on the Django framework to present selected terms in clinical notes. MeSHx-Notes extends Medical Subject Headings (MeSH) terms with Word Embeddings with similar words. Since MeSH is available in 15 languages, MeSHx-Notes is easily extendable by replacing the...

The rich user-generated content found on internet blogs have always attracted the interest of scientific communities for many different purposes, such as from opinion and sentiment mining, information extraction or topic discovery. Nonetheless, an extensive corpora is essential to perform most of Natural Language Processing involved in these tasks....

Electronic Health Records (EHR) have brought valuable improvements to hospital practices by integrating patient information. In fact, the understanding of this data can prevent mistakes that may put patients' lives at risk. Nonetheless, to the best of our knowledge, there are no previous studies addressing the automatic detection of outlier prescri...

Diary-like content expressing authors personal experiences and sentiments over a variety of topics is generated every day and made available on the Internet. This rich content can be used for psychological analysis and knowledge discovery regarding human related issues in several ways. This paper presents the creation of a Brazilian Portuguese corp...

The automatic detection of relevant reviews plays a major role in tasks such as opinion summarization, opinion-based recommendation, and opinion retrieval. Supervised approaches for ranking reviews by relevance rely on the existence of a significant, domain-dependent training data set. In this work, we propose MRR (Most Relevant Reviews), a new uns...

Getting information about other people's opinions is an important part of the purchase decision process. Therefore, consumers publish and obtain information about products in collaborative review sites. However, such sites have a vast amount of data that can hinder the user from getting a useful product review. This article analyzes textual aspects...