Filipe Portela

• PhD
• Professor (Assistant) at University of Minho

Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Informatio...

It is clear that the failures found in hospital management are usually related to the lack of information and insufficient resources management. The use of Data Mining (DM) can contribute to overcome these limitations in order to identify relevant data on patient’s management and providing important information for managers to support their decisio...

Decision support technology acceptance is a critical factor in the success of the adoption this type of systems by the users. INTCARE is an intelligent decision support system for intensive care medicine. The main purpose of this system is to help the doctors and nurses making decisions more proactively based on the prediction of the organ failure...

ompreenda as bases da algoritmia e aprenda a programar com uma das linguagens mais utilizadas no mundo, o Python. O que pode encontrar no livro: Uma metodologia para resolução de problemas; 29 exercícios de algoritmia e 34 exercícios de Python; Capítulos organizados para uma leitura sequencial ou ordenada; Dois projetos práticos; Linguagem simple...

With the growth of IoT (Internet of Things) technologies, there has been a significant increase in opportunities to enhance various aspects of our daily lives. One such application is the prediction of car park occupancy using car park movement data, which can be further improved by incorporating weather data. This paper focuses on investigating ho...

Due to the amount of data emerging, it is necessary to use an online analytical processing (OLAP) framework capable of responding to the needs of industries. Processes such as drill-down, roll-up, three-dimensional analysis, and data filtering are fundamental for the perception of information. This article demonstrates the OLAP framework developed...

In the twenty-first century, humanity faces the great challenge of the exponential growth of the world’s population. With this accelerated growth, new daily challenges and obstacles to human life have come. It is essential to develop tools and systems capable of solving most of these issues and improving the quality of human life. This case study r...

This study shows the importance of online analytical processing (OLAP), the efficiency and effectiveness in supporting decision-making and how the entire flow is crucial for developing smart cities. Without a complete discharge from data collection, extraction, transformation and loading (ETL), data warehouse building, KPIs’ (key performance indica...

The pandemic that hit the world in 2020 created a transition period from classes to an e-learning environment. In this type of teaching, a lot of data is generated about different topics that can help improve the class’s daily routine. This paper presents an online case study performed during the 1st semester of the 2020/2021 school year. Online da...

Computer science education has always been a challenging topic for both sides of the trench: educators and learners. Nowadays, with the pandemic state that we are facing, these challenges are even greater, leading educators to look for strategies that promote effective virtual learning. One of such strategies includes the use of game mechanics to i...

The convolutional neural networks had enormous success in the classification of images, and networks such as “AlexNet”, “VGG”, “Inception” and “ResNet” were references for this purpose. This way, it is intended to verify which networks were more successful in the “Imagenet” dataset challenge. Then, it was verified their success when classifying vid...

Currently, remote work is common, and this trend has come to several areas and processes, such as education and teaching. Regarding higher education, universities have several challenges to overcome, the most challenging being transforming teaching to be more digital and engaging. Therefore, TechTeach has arisen as a new teaching paradigm that crea...

Organizations are concerned about how they can increase the motivation and engagement of their employees. Gamification arises in this context as an opportunity to address this issue. Thus, gamification has attracted greater attention from companies. The idea of using game elements to solve problems in their processes is starting to be seen as a sol...

Computer science education has always been a challenging topic for both sides of the trench: educators and learners. Nowadays, with the pandemic state that we are facing, these challenges are even greater, leading educators to look for strategies that promote effective virtual learning. One of such strategies includes the use of game mechanics to i...

The Portugal 2020 programme (PT2020) arose from a partnership agreement between Portugal and the European Commission. This commission brings together the activities of the five European Structural and Investment Funds, where the programming principles of action apply the policy of economic, social, and territorial development are defined to promote...

This study is focused on analysing Civil Protection occurrences for a better understanding of this type of events. This study collected all data on Civil Protection occurrences (Portugal Population) in the time interval from 2016 to 2019. The data comes from a public repository of Civil Protection. The results revealed that the most common type of...

Nowadays, Data Science (DS) is gaining a relevant impact on the community. The most recent developments in Computer Science, such as advances in Machine and Deep Learning, Big Data, Knowledge Discovery, and Data Analytics, have triggered the development of several innovative solutions (e.g., approaches, methods, models, or paradigms). It is a trend...

Nowadays, there is an increasing need to understand the behavior of COVID-19. After the Directorate-General of Health of Portugal made available the infected patient’s data, it became possible to analyze it and gather some conclusions, obtaining a better understanding of the matter. In this context, the project developed—ioCOVID19—Intelligent Decis...

Chatbots are informatics applications that use Artificial Intelligence and natural language interfaces to simulate interactions with the end-user, providing a pleasant user experience. Generally, chatbots are related to customer service, trying either to answer the frequently asked questions that do not need direct human interaction or to generate...

The volumes of data collected have been increasing in recent years as a result of the emergence of new data sources such as sensors, social networks, among others. The data collected has a varied format (semi-structured, unstructured and structured) and, due to the speed at which they are generated, organisations cannot derive value from their data...

A huge growth in data and information needs has led organizations to search for the most appropriate data integration tools for different types of business. The management of a large dataset requires the exploitation of appropriate resources, new methods, as well as the possession of powerful technologies. That led the surge of numerous ideas, tech...

This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers...

Higher education is changing, and a new normal is coming. Students are even more demanding, and professors need to follow the evolution of technology and try to increase student engagement in the classrooms (presential or virtual). Higher education students recognise that the introduction of new tools and learning methods can improve the teaching q...

In the area of Cardiovascular Diseases (CVD), dyspnea, one of many conditions that can be symptom of heart failure, is a metric used by New York Heart Association (NYHA) classification in order to describe the impact of heart failure on a patient. Based on four classes this classification measures the level of limitation during a simples physical a...

Being able to access a patient’s clinical data in due time is critical to any medical setting. Clinical data is very diverse both in content and in terms of which system produces it. The Electronic Health Record (EHR) aggregates a patient’s clinical data and makes it available across different systems. Considering that user’s resistance is a critic...

Nowadays, and increasingly, the users’ demand over the applications requires them to be a lot more flexible, adaptable, capable of being executed over different operational systems. This happens according to the need of accessing those applications no matter where, when, nor what they use to do so. Well, this is the basis under the concept of Perva...

Business intelligence (BI) has undergone constant changes currently, due to the increasing emergence of new technologies, which are introduced to improve the processes inherent in decision-making in organizations. However, not all users are familiar with the tools of a typical BI system, so there is a heavy reliance on the assistance of information...

Nowadays in healthcare, the Clinical Decision Support Systems are used in order to help health professionals to take an evidence-based decision. An example is the Clinical Recommendation Systems. In this sense, a pre-triage system was developed and implemented in Centro Hospitalar do Porto in order to group the patients on two levels (urgent or out...

This paper presents the evaluation of a Pervasive Intelligent Decision Support System in Intensive Medicine making use of Technology Acceptance Model 3 (TAM3). Two rounds of questionnaires were distributed and compared. The work is based on a discursive evaluation of a method employed to assess a new and innovative technology (INTCare) using the fo...

This study has the objective of introducing an innovative way of presenting and representing information concerning patients in Intensive Care Units. Therefore, the Pervasive Patient Timeline, which has the purpose of offering support to intensivists' decision-making process, by providing access to a real-time environment, was developed. The soluti...

The data quality assessment is a critical task in Intensive Care Units (ICUs). In the ICUs the patients are continuously monitored and the values are collected in real-time through data streaming processes. In the case of ventilation, the ventilator is monitoring the patient respiratory system and then a gateway receives the monitored values. This...

With a constant increasing in the health expenses and the aggravation of the global economic situation, managing costs and resources in healthcare is nowadays an essential point in the management of hospitals. The goal of this work is to apply clustering techniques to data collected in real-time about readmitted patients in Intensive Care Units in...

Data mining (DM) is the area where are discovery patterns and the relationship between data. Thus, depending on the type of data, the process will have different names. In this article is used Image Mining (IM), an area that uses DM techniques to find relationship through classification or clustering, using image data. Specifically, in this paper a...

Bring your own device (BYOD) policies have become a very popular topic in information technology, as this approach allows employees to bring their devices into their organizations and use them to access information. This trend has some benefits both for the organization and to employees. This paper aims to identify those benefits as well as the adv...

Adaptive Business Intelligence (ABI) combines predictive with prospective analytics in order to give support to the decision making process. Surgery scheduling in hospital operating rooms is a high complex task due to huge volume of surgeries and the variety of combinations and constraints. This type of activity is critical and is often associated...

Given the growing demand and need by enterprises for data and information to positively support the decision-making process, there is no doubt about the importance of selecting the correct and appropriate integration tool for the different types of business. For this reason, the essential objective of this study is to create a model that will serve...

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2018, held in Guimarães, Portugal, in November 2018. The 15 full papers were selected from 23 submissions and present developments in artificial intelligence for human interaction or entertainment;...

Despite the volume increase of electronic data collection in the health area, there is still much medical information that is recorded without any systematic pattern. For instance, besides the structured admission notes format, there are free text fields for clinicians’ patient evaluation observation. Intelligent Decisions Support Systems can benef...

The importance of standardized treatment for patients is huge because it can reduce waiting times, costs in hospitals and make treatment more effective for patients. According to these patterns, the creation of a tool that can make the admission and interpretation of free text will become an important step in the medical field. For the analysis of...

Technological developments and the growing dependence of organizations and society in the world of the internet led to the growth and variety of data. This growth and variety have become a challenge to the traditional techniques of Business Analytics. In this project, we conducted a benchmarking process that aimed to assess the performance of some...

Nowadays there is a very large number of mobile applications that use the network to offer some functionality to users and because of this, applications are limited by the network conditions, such as network latency. These mobile applications usually are developed in a traditional approach, designated as a native approach and its goal is to develop...

The healthcare system is one of the main pillars of any society. However, it carries with it an enormous economic weight. Portugal, alongside with many others, is a country in economic and social restructuration and consequently, the need to increase the efficiency of resource management and services is imperative. With the proven effectiveness of...

Nowadays, companies want technologies that are able to help them to make the best decision. Data Mining is an excellent tool to estimate the sales. It allows the company to optimize its production and reduce costs, eg, in storage. When these models are combined with Lean Production, it becomes easier to remove waste and optimize industrial producti...

Nowadays, any health-related issue is always a very sensitive issue in the society as it interferes directly in the people well-being. In this sense, in order to improve the quality of health services, a good quality management of complaints is essential. Due to the volume of complaints, there is a need to explore Data Science models in order to au...

Football, which is a popular world-wide sport, has become one of the most practiced sports but also, with more study cases. Scouting and game analysis that is currently made has offered the possibility to improve the competition and increase the performance levels within a team. Taking this into account it emerged the term Scouting. The objective o...

The use of technologies that can facilitate and streamline the processes of those who constantly need to perform various actions or comply with the most varied procedures, requires constant adaptability, either by organizations or users. The focus of this research is precisely the adaptability of technologies and in this case the technology used in...

It is proven that Big Data is related to an increase in efficiency and effectiveness in many areas. Although many studies have been conducted trying to prove the value of Big Data in healthcare/medicine, few practical advances have been made. In this project, an analysis and a comparison were made of the existing Big Data technologies applied in he...

Os cuidados intensivos são unidades clínicas onde os sinais vitais dos doentes são monitorizados continuamente e onde é registada uma multiplicidade de parâmetros clínicos. Este trabalho apresenta como principal objetivo estudar a possibilidade e desenvolver um sistema inteligente que promova a monitorização e a criação de novo conhecimento útil pa...

Nowadays, the presence of technologies in people’s daily life is constantly increasing and, consequently, accessing information is easier. Keeping this in mind and allying it to the need to captivate students attention to take advantage of activities and events, TechPaper game was created. The goal of this game is to stimulate the interest of the p...

Nowadays, process management is a key factor in the success of organizations. The market in which the organizations operate is increasingly competitive. This increase makes the improvement of business processes a constant and essential need in organizations. In recent years, organizations increasingly choose to adopt Business Process Management (BP...

The increase in the use of technologies in the health area and the evolution of their characteristics became an essential aspect for increasing knowledge in this area, especially in intensive medicine. This aspect is critical for the treatment of high-risk patients, so it became necessary to study the factors that influence the acceptance of the te...

Neonatal units, and especially the sections devoted to intensive care require an individualized medical prescription, based on body weight and gestational age making them among the hospital settings where treatment errors are most likely to occur. These errors may harm patients and their families, as well as increase the duration of hospital stay a...

Bring Your Own Device (BYOD) has become very popular topic in information technology because this approach allows the employees to bring their personal devices into organization and they want to use them to access the organization information. This trend has some benefits both for organization and to employees. This paper aims to identify those ben...

These days the exponential increase in the volume and variety of data stored by companies and organizations of various sectors of activity, has required to organizations the search for new solutions to improve their services and/or products, taking advantage of technological evolution. As a response to the inability of organizations to process larg...

A load-following mode of nuclear power plants (NPP) is a complicated procedure because there are significant changes in many interrelated processes. In order to show which control program (CP) of NPP is better to use, data mining (DM) techniques can be introduced. This study proposes a DM approach in order to show a possibility of using DM regressi...

The data mining models are an excellent tool to help companies that live from the sale of items they produce. With these models combined with Lean Production, it becomes easier to remove waste and optimize industrial production. This project is based on the phases of the methodology CRISP-DM. Several methods were applied to this data namely, averag...

With a constant increasing in the health expenses and the aggravation of the global economic situation, managing costs and resources in healthcare is nowadays an essential point in the management of hospitals. The goal of this work is to apply clustering techniques to data collected in real-Time about readmitted patients in Intensive Care Units in...

With the increasing expansion of Healthcare Information Systems, platforms for interoperability and monitoring systems have become vital tools to support the clinical practice. Under this scenario, the creation of knowledge in real-time to feed decision support tools is essential. INTCare is one the solutions that adapts the way that information is...

The prediction of events is a task associated to the Data Science area. In the health, this method is extremely useful to predict critical events that may occur in people, or in a specific area. The Text Mining is a technique that consists in retrieving information from text files. In the Medical Field, the Data Mining and Text Mining solutions can...

The data quality assessment is a critical task in Intensive Care Units (ICUs). In the ICUs the patients are continuously monitored and the values are collected in real-time through data streaming processes. In the case of ventilation, the ventilator is monitoring the patient respiratory system and then a gateway receives the monitored values. This...

This study has the objective of introducing an innovative way of presenting and representing information concerning patients in Intensive Care Units. Therefore, the Pervasive Patient Timeline, which has the purpose of offering support to intensivists' decision-making process, by providing access to a real-time environment, was developed. The soluti...

This paper presents the evaluation of a Pervasive Intelligent Decision Support System in Intensive Medicine making use of Technology Acceptance Model 3 (TAM3). Two rounds of questionnaires were distributed and compared. The work is based on a discursive evaluation of a method employed to assess a new and innovative technology (INTCare) using the fo...

The advent of Internet and ubiquitous technologies has been fostering the appearance of intelligent mobile applications aware of their environment and the objects nearby. Despite its popularity, mobile developers are often required to write large and disorganized amounts of code, mixing UI with business logic and interact, in a ad-hoc fashion, with...

Brain death is one of the most serious diagnoses that can be diagnosed in a patient. The possibility to detect it before its happening is one of the possible steps for the prevention of this event. The x-rays – Computed Tomography scans, are a very important test for the detection of this diagnosis. This paper proposes the use of an ontology on the...

The adoption of digital marketing techniques, along with eGov tools, allows to create value to the organization and increase the proximity with customers. After selecting a good practice, it should be optimized for the target client, divulgated on the right platforms, implemented, and finally analyzed throughout the implementation process of a good...

The main objectives in triage are to improve the quality of care and reduce the risks associated to the waiting time in emergency care. Thus, an efficient triage is a good way to avoid some future problems and how much quicker it is, more the patient can benefit. The most common triage system is the Manchester Triage System that is a reliable syste...

Good practices in eGov are being increasingly used by Local Governments being that it is considered by them as an advantage. The main goal is providing to the town hall a differentiation point and approximate their services to the citizens. For this, it is necessary to define and apply innovative strategies in order to increase the use of services...

Data mining models are an excellent tool to help companies that live from the sales of items they produce because it allows the company to optimize its production and reduce costs, for example in storage. When these models are combined with Lean Production, it becomes easier to remove waste and optimize industrial production. This project is based...

Intensive care is a critical area of medicine having a multidisciplinary nature requiring all types of healthcare professionals. Given the critical environment of intensive care units (ICUs), the need to use information technologies, like decision support systems, to improve healthcare services and ICU management is evident. It is proven that unpla...

Currently, the healthcare system is one of the main pillars of any society. Given the economic crisis in Portugal and poor healthcare system in need of profound improvements, the need to increase the efficiency of resource management and services is imperative. With the increasing use of Business Intelligence (BI) in organisations and the proven ef...

Every day the surgical interventions are associated with medicine, and the area of critical care medicine is no exception. The goal of this work is to assist health professionals in predicting these interventions. Thus, when the Data Mining techniques are well applied it is possible, with the help of medical knowledge, to predict whether a particul...

The Oporto Hospital Center (CHP) is considered a reference in the area of corneal transplantation, having performed more than 4000 transplants to date. Corneas are the most transplanted tissues worldwide and is usually the main method to recover from the blindness caused by corneal diseases. With the purpose of obtaining a better comprehension on t...

With the advancement of technology, patient information has been being computerized in order to facilitate the work of healthcare professionals and improve the quality of healthcare delivery. However, there are many heterogeneous information systems that need to communicate, sharing information and making it available when and where it is needed. T...

The field of critical care medicine is confronted every day with cases of surgical interventions. When Data Mining is properly applied in this field, it is possible through predictive models to identify if a patient, should or should not have surgery again upon the same problem. The goal of this work is to apply clustering techniques in collected d...

Due to plenty of changes in many interrelated processes at nuclear power plants there is the need to show which values of some parameters of the nuclear power plant with VVER-1000 are better. In this task data mining techniques can be introduced. In order to obtain regression models of nuclear power plant with VVER-1000 algorithms such as the Linea...

In the healthcare industry it is imperative the need to increase the efficiency of resource management and services. The increasing of Business Intelligence (BI) use in organizations and the demonstrated effectiveness of this type of solution, arises the desire to use BI in healthcare as in Misericórdias. So, in this work some concepts associated t...

In the field of intensive medicine, presentation of medical information is identified as a major concern for the health professionals, since it can be a great aid when it is necessary to make decisions, of varying gravity, for the patient's state. The way in which this information is presented, and especially when it is presented, may make it diffi...

In recent years, a wide range of Business Intelligence (BI) technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different i...

Intensive Care is one of the most critical areas ofmedicine. Its multidisciplinary nature makes it a very wide area, requiring all types of healthcare professionals. Given the criticalenvironment of intensive care units, it becomes evident the need touse technology of decision support systems to improve healthcareservices and Intensive Care Units m...

In the area of medicine, x-rays are very useful to check if the patient suffers from brain death. Their diagnosis is made using free text. This type of record difficult the process of making qualitative analysis in order to automatically detect possible brain problems. This project aims to make qualitatively and quantitatively analysis of Brain Com...

Users’ dissatisfaction, related to healthcare institutions in Portugal, has increased in the recent years. This fact can be seen through the increase of formal complaints, which the responsible regulatory entity has been receiving daily, in this country. More and more technical efforts have been done in order to understand and analyze this tendency...

The role that decision making process plays in Intensive Medicine is very critical essential due to the bad health condition of the patients that go to Intensive Care Units (ICU) and the need of a quick and accurate decisions. Therefore each decision is crucial, because it can help saving endangered lives. The decision should be always taken in the...

The decision support models in intensive care units are developed to support medical staff in their decision making process. However, the optimization of these models is particularly difficult to apply due to dynamic, complex and multidisciplinary nature. Thus, there is a constant research and development of new algorithms capable of extracting kno...

This research work explores a new way of presenting and representing information about patients in critical care, which is the use of a timeline to display information. This is accomplished with the development of an interactive Pervasive Patient Timeline able to give to the intensivists an access in real-time to an environment containing patients...

Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triag...

Nowadays in healthcare, the Clinical Decision Support Systems are used in order to help health professionals to take an evidence-based decision. An example is the Clinical Recommendation Systems. In this sense, a pre-triage system was developed and implemented in Centro Hospitalar do Porto in order to group the patients on two levels (urgent or out...

With the implementation of Information and Communication Technologies in the health sector, it became possible the existence of an electronic record of information for patients, enabling the storage and the availability of their information in databases. However, without the implementation of a Business Intelligence (BI) system, this information ha...

The needs of reducing human error has been growing in every field of study, and medicine is one of those. Through the implementation of technologies is possible to help in the decision making process of clinics, therefore to reduce the difficulties that are typically faced. This study focuses on easing some of those difficulties by presenting real-...

An unsuitable patient flow as well as prolonged waiting lists in the emergency room of a maternity unit, regarding gynecology and obstetrics care, can affect the mother and child’s health, leading to adverse events and consequences regarding their safety and satisfaction. Predicting the patients’ waiting time in the emergency room is a means to avo...