A5088588041- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Topic Modeling
- Electronic Health Records Systems
- Nursing Diagnosis and Documentation
- Health Education and Validation
- Clinical practice guidelines implementation
- linguistics and terminology studies
- Machine Learning in Healthcare
- Business Process Modeling and Analysis
- Text Readability and Simplification
- Forensic Anthropology and Bioarchaeology Studies
- Semantic Web and Ontologies
- Healthcare Operations and Scheduling Optimization
- Artificial Intelligence in Healthcare
- Stroke Rehabilitation and Recovery
- Acute Ischemic Stroke Management
- Medical Imaging Techniques and Applications
- Data Quality and Management
- Women's cancer prevention and management
- Diabetic Foot Ulcer Assessment and Management
- Digital Imaging for Blood Diseases
- Endometriosis Research and Treatment
- Insurance, Mortality, Demography, Risk Management
- Academic Research in Diverse Fields
Pontifical Catholic University of Puerto Rico
2010-2024
Pontifícia Universidade Católica do Paraná
2014-2024
University of Milan
2023-2024
ORCID
2021
Federal Center for Technological Education Celso Suckow da Fonseca
2002
Universidade Estadual de Campinas (UNICAMP)
2002
Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Julien Knafou, Lucas Emanuel Silva e Oliveira, Jenny Copara, Yohan Bonescki Gumiel, Ferro Antunes Emerson Cabrera Paraiso, Douglas Teodoro, Cláudia Maria Cabral Moro Barra. Proceedings of the 3rd Clinical Natural Language Processing Workshop. 2020.
Electronic health records (EHRs) contain patient-related information formed by structured and unstructured data, a valuable data source for Natural Language Processing (NLP) in the healthcare domain. The contextual word embeddings Transformer-based models have proved their potential, reaching state-of-the-art various NLP tasks. Although performance downstream tasks with free-texts written English has recently improved, less resource is available considering clinical texts low-resource...
The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the demand for annotated corpora, which are a precious resource both development and evaluation natural language processing (NLP) algorithms. absence multipurpose clinical corpus outside scope English language, especially Brazilian Portuguese, is glaring severely impacts scientific progress biomedical NLP field.In this study, semantically was developed using...
Process flexibility plays a key role in high variability environments, such as healthcare. In this type of environment, the process model needs to change some elements adjust specific sets requirements. Thus, paper proposes customising method based on ontology and mining. The proposed is applied models for acute ischemic stroke treatment. During customisation, provides decision-making support users, thereby ensuring structurally correct customisation enabling improves patient treatment by...
Leprosy reactions (LR) are severe episodes of intense activation the host inflammatory response uncertain etiology, today leading cause permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there limited attempts to combine this information estimate a patient developing LR. Here we present an artificial intelligence (AI)-based system that can assess using clinical, demographic, data. The study includes four datasets from...
Abstract Automatic detection of negated content is often a prerequisite in information extraction systems various domains. In the biomedical domain especially, this task important because negation plays an role. work, two main contributions are proposed. First, we work with languages which have been poorly addressed up to now: Brazilian Portuguese and French. Thus, developed new corpora for these manually annotated marking cues their scope. Second, propose automatic methods based on...
Contextual word embeddings and the Transformers architecture have reached state-of-the-art results in many natural language processing (NLP) tasks improved adaptation of models for multiple domains. Despite improvement reuse construction models, few resources are still developed Portuguese language, especially health domain. Furthermore, clinical available not representative enough all medical specialties. This work explores deep contextual embedding to support NLP tasks. We transferred...
Abstract This theoretical and reflective study aimed to assess the contribution of ISO/TR 12300:2016 document for mapping nursing terminology. The referred related articles were used as an empirical framework. analyzed content document, highlighting cardinality equivalence principles. standard presents conceptual operational basis mapping, with support categorization cross-terminology in area nursing. Cardinality verifies candidate target terms represent source term, while degree scale...
Injury recidivism is a clinical term defined as the recurrence of traumatic injuries from temporally distinct events, whereas multiple correspond to skeletal more than one body region. The analysis these dynamics can lead better understanding individual's way life and social environment. present investigation examines rates injuries, in particular their distribution according sex age-at-death, well association with stress markers, among 200 skeletons Milan covering four historical periods...
INTRODUÇÃO: Cada vez mais, são necessários prontuários eletrônicos de pacientes (PEP) que contemplem informações específicas para a fisioterapia e atendam aos requisitos padronização comunicação dados. A modelagem baseada em arquétipos pode permitir construção PEP atendem às necessidades da assistência ao paciente, garantindo interoperabilidade entre sistemas sua usabilidade. Nesse contexto, criação dos é um passo crucial determinante específico adequado avaliação fisioterapêutica com lesão...
Fibromyalgia syndrome (FMS) is a chronic disease that causes pain and fatigue, presenting negative impact on quality of life. Exercise helps maintaining physical fitness influences directly the improvement life.Develop protocol for health-related assessment patients with FMS tests are feasible appropriate this population.An exploratory analytical literature review was performed, seeking to determine used by scientific community. With in mind, we performed revision through use virtual...
Fibromyalgia syndrome (FMS) is a chronic disease that causes pain and fatigue, presenting negative impact on quality of life. Exercise helps maintaining physical fitness influences directly the improvement Develop protocol for health-related assessment patients with FMS tests are feasible appropriate this population. An exploratory analytical literature review was performed, seeking to determine used by scientific community. With in mind, we performed revision through use virtual libraries...
Objetivou-se elaborar um Conjunto de Dados Essenciais Enfermagem para Atendimento às Portadoras Endometriose (CDEEPE) e representá-lo por arquétipos. Pesquisa exploratória, aplicada com participação especialistas, realizada no Laboratório Informática em Saúde da PUCPR, entre fevereiro novembro 2010. Foi dividida duas etapas: construção avaliação do CDEEPE, que abordou as fases Processo Necessidades Humanas Básicas; desenvolvimento dos arquétipos, a partir conjunto definido. O CDEEPE foi...