A data-driven analytics approach in the study of pneumonia’s fatalities

As huge amounts of data become available in organizations and society, specific data analytics skills and techniques are needed to explore this data and extract from it useful patterns, tendencies, models or other useful knowledge, which could be used to support the decision-making process, to define new strategies or to understand what is happening in a specific field. Only with a deep understanding of a phenomenon it is possible to fight it. In this paper, a data-driven analytics approach is used for the analysis of the increasing incidence of fatalities by pneumonia in the Portuguese population, characterizing the disease and its incidence in terms of fatalities, knowledge that can be used to define appropriate strategies that can aim to reduce this phenomenon, which has increased more than 65% in a decade.

Development and psychometric properties of ECPICID-AVC to measure informal caregivers’ skills when caring for older stroke survivors at home

Introduction: Informal caregivers provide a significant part of the total care needed by dependent older people poststroke. Although informal care is often the preferred option of those who provide and those who receive informal care, informal caregivers often report lack of preparation to take care of older dependent people. This article outlines the development and psychometric testing of informal caregivers’ skills when providing care to older people after a stroke – ECPICID-AVC. Design: Prospective psychometric instrument validation study. Methods: Eleven experts participated in a focus group in order to delineate, develop and validate the instrument. Data were gathered among adult informal caregivers (n = 186) living in the community in Northern Portugal from August 2013 to January 2014. Results: The 32-item scale describes several aspects of informal caregiver’s skills. The scale has eight factors: skill to feed/hydrate by nasogastric feeding, skill to assist the person in personal hygiene, skill to assist the person for transferring, skill to assist the person for positioning, skill to provide technical aids, skill to assist the person to use the toilet, skill to feed/hydrate and skill to provide technical aids for dressing/undressing. Analysis demonstrated adequate internal consistency (Cronbach’s alpha = 0.83) and good temporal stability 0.988 (0.984–0.991). Conclusion: The psychometric properties of the measurement tool showed acceptable results allowing its implementation in clinical practice by the nursing community staff for evaluating practical skills in informal caregivers when providing care to older stroke survivors living at home.

Palhetas simples: técnicas de manutenção para aplicação na interpretação e pedagogia do clarinete

Relatório de estágio de mestrado em Ensino da Música

As potencialidades pedagógicas da WebQuest no ensino e aprendizagem da Geologia: um estudo com alunos do 11.º ano no tema "Principais etapas de formação das rochas sedimentares"

Relatório de estágio de mestrado em Ensino de Biologia e Geologia no 3.º Ciclo do Ensino Básico e no Ensino Secundário

Aprendizagem baseada na resolução de problemas: uma experiência pedagógica com alunos de um Curso de Especialização Tecnológica

Relatório de estágio de mestrado em Ensino de Informática

Mediação do professor no processo de construção de conhecimento dos alunos: a resolução de problemas matemáticos, em contextos de aprendizagem situada e explícita

Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1.º Ciclo do Ensino Básico

O contributo do Projeto Curricular Integrado no desenvolvimento das competências de pesquisa

Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1.º do Ensino Básico

Crescer com os outros: a aprendizagem cooperativa e o trabalho de grupo como estratégias fundamentais no desenvolvimento de competências sociais: o contributo do Projeto Curricular Integrado

Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico

A aplicabilidade pedagógica do canto no ensino do violoncelo

Relatório de estágio de mestrado em Ensino de Música

Fatores de sucesso e dificuldades das spin-offs empresariais: o caso das agências de mediação de seguros

Dissertação de mestrado em Marketing e Estratégia

A autonomia no processo de aquisição da competência plurilingue e intercultural no âmbito da aprendizagem do Espanhol

Relatório de estágio de mestrado em Ensino de Português no 3.º ciclo do Ensino Básico Secundário e do Ensino do Espanhol no Ensino Básico e Secundário

A bayesian approach for NDT data fusion: The Saint Torcato Church case study

This paper presents a methodology based on the Bayesian data fusion techniques applied to non-destructive and destructive tests for the structural assessment of historical constructions. The aim of the methodology is to reduce the uncertainties of the parameter estimation. The Young's modulus of granite stones was chosen as an example for the present paper. The methodology considers several levels of uncertainty since the parameters of interest are considered random variables with random moments. A new concept of Trust Factor was introduced to affect the uncertainty related to each test results, translated by their standard deviation, depending on the higher or lower reliability of each test to predict a certain parameter.

O lúdico como estratégia de consolidação e revisão de conhecimentos na aula de Língua Estrangeira

Relatório de estágio de mestrado em Ensino do Português no 3º Ciclo do Ensino Básico e no Ensino Secundário e de Espanhol nos Ensinos Básico e Secundário

Using data mining for prediction of hospital length of stay: an application of the CRISP-DM Methodology

Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Portuguese hospital and related with inpatient hospitalization. The goal was to predict generic hospital Length Of Stay based on indicators that are commonly available at the hospitalization process (e.g., gender, age, episode type, medical specialty). At the data preparation stage, the data were cleaned and variables were selected and transformed, leading to 14 inputs. Next, at the modeling stage, a regression approach was adopted, where six learning methods were compared: Average Prediction, Multiple Regression, Decision Tree, Artificial Neural Network ensemble, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of determination value (0.81). This model was then opened by using a sensitivity analysis procedure that revealed three influential input attributes: the hospital episode type, the physical service where the patient is hospitalized and the associated medical specialty. Such extracted knowledge confirmed that the obtained predictive model is credible and with potential value for supporting decisions of hospital managers.

Dos reis da História aos reis das histórias: ficção para a infância e educação histórica no 4º ano do 1ºCEB

Relatório de estágio de mestrado em Educação Pré-Escolar e Ensino do 1º Ciclo do Ensino Básico