Hugo Peixoto

Hugo Peixoto
University of Minho · Departamento de Informática (DI)

MEng, PhD

About

58
Publications
3,817
Reads
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259
Citations
Additional affiliations
July 2021 - present
University of Minho
Position
  • Auxiliar Researcher
January 2019 - July 2019
Centro Hospitalar de Entre o Douro e Vouga
Position
  • IT Director
June 2008 - December 2018
Centro Hospitalar do Tamega e Sousa
Position
  • IT Specialist
Education
October 2009 - October 2012
University of Minho
Field of study
  • Interoperability and Health Information Systems
October 2007 - February 2008
University of Freiburg
Field of study
  • 3D Modelling
September 2003 - October 2008
University of Minho
Field of study
  • Biomedica Engineering

Publications

Publications (58)
Conference Paper
Currently, the efficient planning of resources in hospitals present a responsibility of extreme importance in the management of the various clinical units. In Intensive Care Unit (ICU), a hospital service where patients require constant observation and control, considering the high costs incurred with hospitalized patients, the optimization of thes...
Chapter
Information systems are continuously evolving in nature and complexity. In the healthcare environment, information and information exchange are critical for providing health care at all levels. Hence, the healthcare environment is particularly relevant when discussing IT infrastructure monitoring and disaster prevention since availability and commu...
Article
INTRODUCTION: Diabetes is a chronic condition that affects a large portion of the population and is the leading cause of numerous health problems. Its automatic detection could improve the communities’ overall well-being.OBJECTIVES: The primary goal was to introduce advancements to the subject of healthy smart cities by studying an approach for pre...
Article
Full-text available
Continuous ambulatory peritoneal dialysis (CAPD) is a treatment used by patients in the end-stage of chronic kidney diseases. Those patients need to be monitored using blood tests and those tests can present some patterns or correlations. It could be meaningful to apply data mining (DM) to the data collected from those tests. To discover patterns f...
Chapter
Despite being one of the deadliest diseases and the enormous evolution in fighting it, the best methods to predict kidney cancer, namely Renal-Cell Carcinomas (RCC), are not well-known. One of the solutions to accelerate the current knowledge about RCC is through the use of Data Mining techniques based on patients' personal and clinical data. There...
Chapter
The aim of this study is to predict, through data mining, the incidence of diabetes disease in the Pima Female Adult Population. Diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces and is a major cause of blindness, kidney failure, heart a...
Chapter
The importance of collecting and presenting data/events in real time from monitors in the intensive care units (ICU) demands constant research. Moreover, improvements in the systems are critical, thus adjusting their behavior to the new requests. The high amount of IoTs present results in the term big data in healthcare, where the most traditional...
Article
The strong growth in the number of diabetics in recent years has become a major health concern. The dependence on sugar consumption has caused a rapid growth in the level of diagnoses and in the number of deaths associated. In this context, the project developed allowed a study on how Diabetes can be detected in a timely manner, through the existen...
Article
The integration of Information Technology systems in healthcare is no new concept, however, the ever growing solutions offered by the IT field are pushing a revamp of older implementations of Hospital Information Systems. Contemporary web-based solutions are now readily available and promise independence from operating systems and desktop bound sys...
Article
Clinical data is growing every day. Ergo, to treat, store and publish such data is an emergent task. Furthermore, analysing data in real-time using streaming and processing technologies and methods, in order to obtain quality data, prepared to support decision making is of extreme value. Big Data emerged with the introduction of real-time processin...
Chapter
History could be epitomised to a handful of events that changed the course of human evolution. Now, we found ourselves amid another revolution: the data revolution. Easily unnoticeable, this new outlook is shifting in every possible way how we interact with the internet and, for the first time in history, how the internet interacts with us. This ne...
Chapter
The exponential appearance of online stores has implied higher market competitiveness and, consequently, companies need to adopt certain strategies to obtain greater prominence and gain clientele. This paper explores an architectural approach to incorporate a recommendation system in online stores, in order to offer a solution to achieve those goal...
Chapter
Improving customer experience is crucial in any industry, especially in telecommunications, where competition is a constant factor. Today, all telecommunications companies rely on the massive amount of data generated daily to get to know the customer or study their behavior and thus create new effective strategies for their business. Within the mos...
Chapter
There has been a significant increase in the quantity of information stored digitally by health institutions. Such information contains personal data from the actors in their universe. Thus, is crucial that it is governed by a set of rules, in order to allow it to be understood without losing important data. With the increased use of digital tools...
Chapter
Strokes are neurological events that affect a certain area of the brain. Since brain controls fundamental body activities, brain cell deterioration and dead can lead to serious disabilities and poor life quality. This makes strokes the leading cause of disabilities and mortality worldwide. Patients that suffer strokes are hospitalized in order to b...
Chapter
Information should be accessible everywhere and at any time to help with clinical decision and be available for clinical studies through data computationally interpretable. This work is based on a set of studies performed at Centro Hospitalar do Tâmega e Sousa. An Electronic Semantic Health Record was formalized and implemented which was delivered...
Article
Peptic ulcers are not the most common complication in gastrointestinal mucosa, but these defects stand out as being the complication with the highest mortality rate. Several scoring systems based on clinical and biochemical parameters, such as the Boey and PULP scoring system have been developed to predict the probability of mortality. In this stud...
Article
Full-text available
Real-time and intelligent decision support systems are of most importance to supply intensive care professionals with important information in useful time. The work presented hereby shows an architectural overview of the communication system with bedside devices such as vital sign monitors. Intelligent Decision Support System for Intensive Medicine...
Article
Full-text available
Blockchain has its focus around sharing, distribution and encryption. Particularly, the newer blockchain implementations revolve around the implementation of smart-contracts, second-layer systems and permissioned blockchains. This type of potential has generated a lot of attention towards blockchain, thus making it a great candidate technology with...
Article
Full-text available
Since its origin in finance, blockchain have been revolutionizing data storage and sharing in many other sensitive areas. Being the focus of Permissioned Blockchains around privacy, confidentiality, immutability, interoperability and reliability, it fits perfectly within the data requisites of healthcare. Even more, with the surge of new iterations...
Article
Full-text available
The development of malign cells that can grow in any part of the stomach, known as gastric cancer, is one of the most common causes of death worldwide. In order to increase the survival rate in patients with this condition, it is essential to improve the decision-making process leading to a better and more efficient selection of treatment strategie...
Chapter
Low Birth Weight (LBW) babies have a high risk of developing certain health conditions throughout their lives that affect negatively their quality of life. Therefore, a Decision Support System (DSS) that predicts whether a baby will be born with LBW would be of great interest. In this study, six different Data Mining (DM) algorithms are tested for...
Chapter
In the last decades, with the increase in the amount of data stored in the healthcare industry, it is also extended the possibility of obtaining important information to support the decision-making process of health professionals. This article has as evidence to apply Data Mining (DM) techniques to health databases of patients with medical Deep Vei...
Chapter
Peptic ulcers are defined as defects in the gastrointestinal mucosa that extend through the muscularis mucosae. Although not being the most common complication, perforations stand out as being the complication with the highest mortality rate. To predict the probability of mortality, several scoring systems based on clinical and biochemical paramete...
Chapter
The management of peptic ulcer disease usually implies an urgent surgical procedure with the need of a patient’s hospital admission. By predicting the length of hospital stay of patients, improvements can be made regarding the quality of services provided to patients. This paper focuses on using real data to identify patterns in patients’ profiles...
Chapter
Gastric cancer refers to the development of malign cells that can grow in any part of the stomach. With the vast amount of data being collected daily in healthcare environments, it is possible to develop new algorithms which can support the decision-making processes in gastric cancer patients treatment. This paper aims to predict, using the CRISP-D...
Chapter
The healthcare sector generates large amounts of data on a daily basis. This data holds valuable knowledge that, beyond supporting a wide range of medical and healthcare functions such as clinical decision support, can be used for improving profits and cutting down on wasted overhead. The evaluation and analysis of stored clinical data may lead to...
Article
Full-text available
The aim of this paper is to develop a Personal Health Record (PHR) for the support of pregnant women. With this goal in mind, concepts such as PHR and their importance in the obstetrics field are overviewed, as well as mobile development strategies. The system was developed with the support of a medical institution and taking into account what preg...
Chapter
The assessment of health status in communities throughout the world is a massive information technology challenge. Data warehousing provides a flexible environment to support the business management and serve as an integrated repository for data. With the addition of models and analytic tools that have the potential to provide actionable informatio...
Chapter
With the advent of computer science in hospitals, Electronic Health Record comes up, with the aim of bringing the new information technologies to the hospital environment with the promise not only to replace the paper process, but also to improve and provide better patient care. The operationalization of the EHR in supporting evidence-based practic...
Chapter
With the advent of computer science in hospitals, Electronic Health Record comes up, with the aim of bringing the new information technologies to the hospital environment with the promise not only to replace the paper process, but also to improve and provide better patient care. The operationalization of the EHR in supporting evidence-based practic...
Chapter
The assessment of health status in communities throughout the world is a massive information technology challenge. Data warehousing provides a flexible environment to support the business management and serve as an integrated repository for data. With the addition of models and analytic tools that have the potential to provide actionable informatio...
Article
Full-text available
It is estimated that approximately 10% of newborns require some kind of assistance for breathing at birth. Aiming to prevent neonatal mortality, the goal behind this paper is to predict the need for neonatal resuscitation given some health conditions of both the newborn and the mother, and also the characteristics of the pregnancy and the delivery...
Article
Full-text available
Patients with severe kidney failure need to be carefully monitored. One of the many treatments is called Continuous Ambulatory Peritoneal Dialysis (CAPD). This kind of treatment intends to maintain the blood tests as normal as possible. Data Mining and Machine Learning can take a simple and meaningless blood’s test data set and build it into a Deci...
Article
Full-text available
The aim of this study is to predict, through data mining tools, the incidence of perineal tear. This kind of laceration developed during child delivery might imply surgery and entails a set of several consequences. Clinical Decision Support Systems, with the information collected from patients’ electronic health records combined with the data minin...
Article
Full-text available
The large amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analysed by traditional methods. Data mining can improve decision-making by discovering patterns and trends in large amounts of complex data. In the healthcare industry specifically, data mining can be used to decrease costs by increasi...
Article
Full-text available
Healthcare is one of the world’s fastest growing industries, having large volumes of data collected on a daily basis. It is generally perceived as being ‘information rich’ yet ‘knowledge poor’. Hidden relationships and valuable knowledge can be discovered in the collected data from the application of data mining techniques. These techniques are bei...
Conference Paper
Nowadays, with the use of upcoming technologies such as augmented reality, organizations can improve their services more intelligently. Customer service continues to be an important factor for improving quality in healthcare units and, for this reason they are providing self-service systems, such as kiosks, as an option. Therefore, and having also...
Article
Deep Vein Thrombosis (DVT) consists in the formation of a blood clot within the deep veins of the lower limbs. This study explores the data and information collected from the Electronic Health Record of a Health Care Institution. Several concepts such as Data Warehouse, Extract-Transform-Load and Business Intelligence were applied and the use of th...
Article
Full-text available
Methods for knowledge discovery in data bases (KDD) have been studied for more than a decade. New methods are required owing to the size and complexity of data collections in administration, business and science. They include procedures for data query and extraction, for data cleaning, data analysis, and methods of knowledge representation. The par...
Chapter
Information should be accessible everywhere and at any time to help with clinical decision and be available for clinical studies through data computationally interpretable. This work is based on a set of studies performed at Centro Hospitalar do Tâmega e Sousa. An Electronic Semantic Health Record was formalized and implemented which was delivered...
Chapter
Preventive actions management plays a crucial role in clinical applications, not only for those who depend on data to make decisions, but also for those who monitor the operational and financial impact of the systems. This paper presents an open-source platform, named ScheduleIT, capable of managing preventive routines. The platform is based on an...
Article
Preventive actions management plays a crucial role in clinical applications, not only for those who depend on data to make decisions, but also for those who monitor the operational and financial impact of the systems. This paper presents an open-source platform, named ScheduleIT, capable of managing preventive routines. The platform is based on an...
Conference Paper
Full-text available
Preventive actions management plays a crucial role in clinical applications, not only for those who depend on data to make decisions, but also for those who monitor the operational and financial impact of the systems. This paper presents an open-source platform, named ScheduleIT, capable of managing preventive routines. The platform is based on an...
Conference Paper
Healthcare systems have to be addressed in terms of a wide variety of heterogeneous, distributed and ubiquitous systems speaking different languages, integrating medical equipments and customized by different entities, which in turn were set by different people aiming at different goals. Demands of information within the healthcare sector range fro...
Conference Paper
In this paper we show a practical approach to deal with government impositions correlated with on time appointments in major healthcare facilities in Portugal. Reduce waiting time and improve quality on patient communication are two of the main objectives in this project. Information Systems can improve patient communication with hospitals and buil...
Chapter
Full-text available
Systems Interoperability and Electronic Health Records are responsible for an exponential number of visits in electronic repository, either in terms of medical professionals or related staff. This is paramount for a better and sustainable quality-of-care in clinical assistance and of great potential to medical research. Following these lines of tho...
Chapter
With the dissemination of Health Information Systems and the greater relevance of interoperability towards the quality of the information available to the clinical personnel, distinct architectures and methodologies have been devised in order to improve the existing platforms in the healthcare environment. However, most of them are based on HL7, an...
Conference Paper
Full-text available
Currently, interpretation of medical images is almost exclusively made by specialized physicians. Although, the next decades will most certainly be of change and computer-aided diagnosis systems will play an important role in the reading process. Assisted interpretation of medical images has become one of the major research subjects in medical imag...

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