Teresa Gonçalves
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View article: PRÉ-NATAL NA ATENÇÃO PRIMÁRIA: COMPREENSÃO DE GESTANTES SOBRE SINAIS DE ALERTA
PRÉ-NATAL NA ATENÇÃO PRIMÁRIA: COMPREENSÃO DE GESTANTES SOBRE SINAIS DE ALERTA Open
Este estudo investigou como gestantes em acompanhamento na Atenção Primária compreendem os sinais de alerta na gestação e as orientações recebidas no pré-natal. Justifica-se pela persistência de lacunas informacionais que podem retardar a …
View article: Integrating LeanDfX into PLM Tools to Enhance Efficiency and Effectiveness in Product Development
Integrating LeanDfX into PLM Tools to Enhance Efficiency and Effectiveness in Product Development Open
In an era of sharp competition and increasing customer expectations, optimizing the product design and development process is critical to deliver value-added solutions. This study explores the application of a PLM tool with a Lean (Design …
View article: 70MO Patient engagement with AI-tailored content in a multinational digital health intervention for breast cancer: Exploratory results from the CINDERELLA trial (NCT05196269)
70MO Patient engagement with AI-tailored content in a multinational digital health intervention for breast cancer: Exploratory results from the CINDERELLA trial (NCT05196269) Open
View article: HiPC-QR: Hierarchical Prompt Chaining for Query Reformulation
HiPC-QR: Hierarchical Prompt Chaining for Query Reformulation Open
Query reformulation techniques optimize user queries to better align with documents, thus improving the performance of Information Retrieval (IR) systems. Previous methods have primarily focused on query expansion using techniques such as …
View article: Resilience, Quality of Life, and Minor Mental Disorders in Nursing Professionals: A Study in Challenging Work Environments
Resilience, Quality of Life, and Minor Mental Disorders in Nursing Professionals: A Study in Challenging Work Environments Open
Introduction: The mental health of nursing professionals is an escalating global concern, particularly due to the inherently challenging work conditions they frequently encounter. This study aimed to investigate the prevalence of Minor Men…
View article: HUMANIZAÇÃO NO ATENDIMENTO À SAÚDE: PROMOVENDO O CUIDADO INTEGRAL E A RELAÇÃO EMPÁTICA ENTRE PROFISSIONAIS E PACIENTES
HUMANIZAÇÃO NO ATENDIMENTO À SAÚDE: PROMOVENDO O CUIDADO INTEGRAL E A RELAÇÃO EMPÁTICA ENTRE PROFISSIONAIS E PACIENTES Open
Este estudo analisa a importância da humanização no atendimento à saúde, focando no Sistema Único de Saúde (SUS). A humanização busca ir além do tratamento técnico e biológico, considerando também as necessidades emocionais, psicológicas e…
View article: MultiLTR: Text Ranking with a Multi-Stage Learning-to-Rank Approach
MultiLTR: Text Ranking with a Multi-Stage Learning-to-Rank Approach Open
The division of retrieval into multiple stages has evolved to balance efficiency and effectiveness among various ranking models. Faster but less accurate models are used to retrieve results from the entire corpus. Slower yet more precise m…
View article: O Papel da Reabilitação Cardíaca Após o Infarto do Miocárdio
O Papel da Reabilitação Cardíaca Após o Infarto do Miocárdio Open
O infarto do miocárdio (IM) é uma das principais causas de mortalidade e morbidade global, impactando significativamente a qualidade de vida dos pacientes. Embora avanços no tratamento agudo, como intervenções coronárias percutâneas, tenha…
View article: O uso de Isotretinoína no tratamento da acne severa: avaliação do risco de depressão e outras alterações psiquiátricas
O uso de Isotretinoína no tratamento da acne severa: avaliação do risco de depressão e outras alterações psiquiátricas Open
A acne severa é uma condição dermatológica que afeta negativamente a qualidade de vida dos pacientes, tanto fisicamente quanto emocionalmente. Quando tratamentos convencionais não são eficazes, a isotretinoína é uma alternativa frequenteme…
View article: Fatores associados à depressão em estudantes universitários: uma revisão sistemática da literatura
Fatores associados à depressão em estudantes universitários: uma revisão sistemática da literatura Open
A depressão em estudantes universitários é um problema crescente, especialmente após a pandemia de COVID-19. Este transtorno psiquiátrico, caracterizado por sintomas como tristeza persistente, perda de interesse, alterações no apetite, son…
View article: P431: CINDERELLA Clinical Trial (NCT05196269): Patient Engagement with an AI-based Healthcare Application for Enhancing Breast Cancer Locoregional Treatment Decisions - Preliminary Insights
P431: CINDERELLA Clinical Trial (NCT05196269): Patient Engagement with an AI-based Healthcare Application for Enhancing Breast Cancer Locoregional Treatment Decisions - Preliminary Insights Open
View article: Impacto dos estilos de vida na prevenção e progressão da esteatose hepática não alcoólica
Impacto dos estilos de vida na prevenção e progressão da esteatose hepática não alcoólica Open
A esteatose hepática não alcoólica (EHNA) é uma condição crescente que afeta significativamente a saúde pública, associada a doenças metabólicas como obesidade, diabetes e dislipidemia. Este estudo analisou a influência do estilo de vida n…
View article: Beyond Isolation: Social Networks as a Bridge to Well-Being in Old Age
Beyond Isolation: Social Networks as a Bridge to Well-Being in Old Age Open
Population aging and the digital revolution converge, creating challenges and opportunities for the social inclusion of older adults. This study examined social media usage patterns among Brazilian older adults during the COVID-19 pandemic…
View article: Optimizing Manufacturing Efficiency using human-centered design and AI
Optimizing Manufacturing Efficiency using human-centered design and AI Open
View article: EIF-SlideWindow: Enhancing SLAM Efficiency and Accuracy with a Fixed-Size Dynamic Information Matrix
EIF-SlideWindow: Enhancing SLAM Efficiency and Accuracy with a Fixed-Size Dynamic Information Matrix Open
This paper introduces EIF-SlideWindow, a novel enhancement of the Extended Information Filter (EIF) algorithm for Simultaneous Localization and Mapping (SLAM). Traditional EIF-SLAM, while effective in many scenarios, struggles with inaccur…
View article: Improving Consumer Health Search with Field-Level Learning-to-Rank Techniques
Improving Consumer Health Search with Field-Level Learning-to-Rank Techniques Open
In the area of consumer health search (CHS), there is an increasing concern about returning topically relevant and understandable health information to the user. Besides being used to rank topically relevant documents, Learning to Rank (LT…
View article: FRAGILIDADES FÍSICAS DE IDOSOS HOSPITALIZADOS EM UNIDADE CLÍNICA DE UM HOSPITAL DE ENSINO
FRAGILIDADES FÍSICAS DE IDOSOS HOSPITALIZADOS EM UNIDADE CLÍNICA DE UM HOSPITAL DE ENSINO Open
Introdução: Durante uma internação hospitalar, os idosos podem cursar com perda de funcionalidade, que pode ser devido à doença que determinou a internação, condições clínicas prévias, procedimentos a que é submetido e a fragilidade é uma …
View article: Enhancing Biomedical Question Answering with Large Language Models
Enhancing Biomedical Question Answering with Large Language Models Open
In the field of Information Retrieval, biomedical question answering is a specialized task that focuses on answering questions related to medical and healthcare domains. The goal is to provide accurate and relevant answers to the posed que…
View article: 108TiP CINDERELLA clinical trial: Using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions
108TiP CINDERELLA clinical trial: Using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions Open
Breast cancer management often requires a delicate balance between effective treatments and preserving patient's quality of life. Standardised methods to inform patients about different locoregional therapies and assess their aesthetic out…
View article: Review and Empirical Analysis of Machine Learning-Based Software Effort Estimation
Review and Empirical Analysis of Machine Learning-Based Software Effort Estimation Open
The average software company spends a huge amount of its revenue on Research and Development (R&D) for how to deliver software on time. Accurate software effort estimation is critical for successful project planning, resource allocation, a…
View article: Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques Open
View article: Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies
Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies Open
Conceptual representations of images involving descriptions of entities and their relations are often represented using scene graphs. Such scene graphs can express relational concepts by using sets of triplets ⟨subject—predicate—object⟩. I…
View article: Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques.
Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques. Open
Background : Apparent Diffusion Coefficient (ADC) of Magnetic Resonance Imaging (MRI) is an indispensable imaging technique in clinical neuroimaging that quantitatively assesses the diffusivity of water molecules within tissues using Diffu…
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: Discriminating Malignant and Benign Brain Tumors Using Texture Features Of MRI-ADC Images
Discriminating Malignant and Benign Brain Tumors Using Texture Features Of MRI-ADC Images Open
Introduction:The diagnosis of brain tumors often involves the use of Magnetic Resonance Imaging (MRI), with the Apparent Diffusion Coefficient (ADC) being a commonly employed technique in current clinical practice.This study seeks to inves…
View article: Review of Existing Datasets Used for Software Effort Estimation
Review of Existing Datasets Used for Software Effort Estimation Open
The Software Effort Estimation (SEE) tool calculates an estimate of the amount of work that will be necessary to effectively finish the project. Managers usually want to know how hard a new project will be ahead of time so they can divide …
View article: Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques.
Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques. Open
Background: Apparent Diffusion Coefficient (ADC) of Magnetic Resonance Imaging (MRI) is an indispensable imaging technique in clinical neuroimaging that quantitatively assesses the diffusivity of water molecules within tissues using Diffus…
View article: Author Identification from Literary Articles with Visual Features: A Case Study with Bangla Documents
Author Identification from Literary Articles with Visual Features: A Case Study with Bangla Documents Open
Author identification is an important aspect of literary analysis, studied in natural language processing (NLP). It aids identify the most probable author of articles, news texts or social media comments and tweets, for example. It can be …
View article: GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques
GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques Open
All the data was obtained from the National Hospital of Sri Lanka (NHSL) and the Teaching Hospital Anuradhapura under the supervision of the Ethical Review Board of NHSL and the Faculty of Medicine, University of peradeniya.
View article: GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques
GLCM Texture Feature Analysis of MRI-ADC Images to Differentiate Glioma Grades Using Machine Learning Techniques Open
All the data was obtained from the National Hospital of Sri Lanka (NHSL) and the Teaching Hospital Anuradhapura under the supervision of the Ethical Review Board of NHSL and the Faculty of Medicine, University of peradeniya.