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- QVida+: Quality of life continuos estimation for clinical decision supportPublication . Reis, Luís Paulo; Faria, Brígida Monica; Gonçalves, Joaquim; Rocha, Álvaro; Carvalho, VictorAdvances in the last decades in the areas of medical science and patients treatment resulted in a decrease in the mortality rate but also an increase in the number of patients with chronic diseases. This increased life expectancy of patients with chronic diseases often involves great suffering and considerable adverse effects for the patients. Thus, in addition to prolonging life, it is essential to increase the quality of life (QoL) of patients. QoL is now considered an important aspect in clinical practice for patients with chronic illnesses, but the methods to assess, in an automatic or semi-automatic manner, QoL, and their use in clinical decision support are still underexplored and their applications are virtually inexistent. The QVida + solution is based on scientific and technological developments in the areas of quality of life and mobile devices, with the goal of creating a new paradigm for the evaluation and use of QoL in clinical practice. The solution devised is based on an adaptive information system (IS) able to use physical and behavioral data of the patient, gathered by sensors and mobile devices, in conjunction with machine learning techniques, allowing continuous assessment of QoL based on measurement tools that significantly reduce the questionnaires response time without affecting the patients daily life. Continuous assessment of QoL and its rapid use on a clinical decision support system will enable a better quality and more supported decision, patient-centered, by the physician, allowing for an increased quality of life of patients.
- A survey on clinical decision support systems concerning quality of lifePublication . Reis, Luís Paulo; Faria, Brígida Mónica; Goncalves, Joaquim; Rocha, Álvaro; Carvalho, VictorAs a result of improved living conditions and the progress achieved in areas related to medicine, there is a decrease in the mortality rate but an increase in the number of patients with chronic diseases. Contrary to what happened until a few decades ago, patients with chronic diseases now have a high life expectancy. However, the patients increased life expectancy, often causes great pain and significant adverse effects. In addition to prolonging life, it is essential to increase the quality of life (QoL) of patients. The QoL is now considered an important aspect in clinical practice for patients with chronic illnesses, but the methods to assess QoL, in automatic or semi-automatic manners and their use in clinical decision support are still underexplored and their applications are virtually non-existent. This paper presents an overview of research related to health quality of Life, estimation of quality of life including its continuous estimation, modeling and behavioral recognition and representation of knowledge in this area and decision support systems for clinical decision making and quality of life related applications.
- Quality of life assessment: Estimation based on Rasch modelPublication . Goncalves, Joaquim; Reis, Luís Paulo; Faria, Brígida Mónica; Carvalho, Victor; Abreu, CarlaContinuous assessment of the quality of health-related life (HRQoL) of patients is an important aspect of health and gives rise to several readings. On one hand, the enormous amount of information that is generated allows the extraction of knowledge with great accuracy concerning the disease, the treatments and the impact it has on society, on the other hand, this continuous monitoring allows effective control and one timely intervention on the patient. The QoLIS platform has a set of characteristics advantageous over other, including the wide range of analyses that can be made from the results that it provides. However, the complexity of the calculus evolved on the models used, combined with the number of data processing, hamper its use in real time, hindering their use in the context of a medical appointment. Whereas the use of evaluation of quality of life (QoL) in the context of a appointment is an added value for everyone involved, it was necessary to develop and implement, on the QoLIS, a strategy for determining the value of QoL, by estimate, based on Rasch model (in order to provide the same set of responses) and whose response time allows its effective use.
- Data Mining and decision support systems for clinical application and quality of lifePublication . Ferreira, Mário; Reis, Luís Paulo; Faria, Brígida Mónica; Goncalves, Joaquim; Rocha, ÁlvaroThe development of new technologies, information systems, decision support systems and clinical parameters prediction algorithms using machine learning and data mining, opens a new outlook in many areas of health. In this context, the concept of Quality of Life (QOL) has relevance in health and the possibility of integrate this measure in developing systems Decision Support Clinic (SADC). Through individual expectation of physical well-being, psychological, mental, emotional and spiritual patient, clinical variables and quality of life assessment, we intend to make a study of data to establish correlations with clinical data and pharmaceutical data, socio-economic factors, among others, for obtaining knowledge in terms of behavioral patterns of chronically ill, reaching a number of reliable data and easily accessible, capable of enhancing the decision-making process on the part of specialist medical teams, seeking to improve treatments and consequently the quality of life related to health chronically ill. This paper studied and compared related studies that develop systems for decision support and prediction in the clinical area, with emphasis on studies in the area of quality of life.
- QoLIS — Health business analitics platform based on quality of life related with healthPublication . Goncalves, Joaquim; Carvalho, Victor; Reis, Luís Paulo; Faria, Brígida Mónica; Rocha, ÁlvaroA capacidade de medir efetivamente a Qualidade de Vida Relacionada com a Saúde (QdVRS) é um aspecto-chave para descrever os impactos da doença, tratamento, ou outras lesões, além de normal e envelhecimento do paciente esperado. Durante as duas últimas décadas, a avaliação do estado de saúde do paciente foi sujeita a uma substancial mudança de paradigma, evoluindo de uma dependência predominante em medições bioquímicas e físicas para o foco em resultados de saúde com base na avaliação pessoal da doença. Existem vários instrumentos de medição para avaliar a Qualidade de Vida (QdV) em geral, e QdVRS em particular, mas a análise em tempo real de dados produzidos por estes instrumentos só é possível com a tecnologia associada a sistemas de apoio à decisão (SAD). O desenvolvimento destes tipos de sistemas de informação apresentam alguns problemas que devem ser resolvidos. O QoLIS (Quality of Life Information Systems)) é um HBA (Health Business Analitics) com base nma plataforma web que usa informações sobre a QdVRS, além de dados clínicos, para fornecer informações que permitem auxiliar o clínico na tomada de decisão e pode interagir com qualquer fonte de dados.
- A Review of Commercial and Medical-Grade Physiological Monitoring Devices for Biofeedback-Assisted Quality of Life Improvement StudiesPublication . Nogueira, Pedro; Urbano, Joana; Reis, Luís Paulo; Cardoso, Henrique Lopes; Silva, Daniel Castro; Rocha, Ana Paula; Gonçalves, Joaquim; Faria, Brígida MónicaWith the rise in wearable technology and "health culture", we are seeing an increasing interest and affordances in studying how to not only prolong life expectancy but also in how to improve individuals' quality of life. On the one hand, this attempts to give meaning to the increasing life expectancy, as living above a certain threshold of pain and lack of autonomy or mobility is both degrading and unfair. On the other hand, it lowers the cost of continuous care, as individuals with high quality of life indexes tend to have lower hospital readmissions or secondary complications, not to mention higher physical and mental health. In this paper, we evaluate the current state of the art in physiological therapy (biofeedback) along with the existing medical grade and consumer grade hardware for physiological research. We provide a quick primer on the most commonly monitored physiologic metrics, as well as a brief discussion on the current state of the art in biofeedback-assisted medical applications. We then go on to present a comparative analysis between medical and consumer grade biofeedback devices and discuss the hardware specifications and potential practical applications of each consumer grade device in terms of functionality and adaptability for controlled (laboratory) and uncontrolled (field) studies. We end this article with some empirical observations based on our study so that readers might use take them into consideration when arranging a laboratory or real-world experience, thus avoiding costly time delays and material expenditures.
- Data mining and electronic devices applied to quality of life related to health dataPublication . Goncalves, Joaquim; Faria, Brígida Mónica; Reis, Luís Paulo; Carvalho, Victor; Rocha, ÁlvaroThe development of new technologies, information systems, decision support systems and clinical parameters prediction algorithms using machine learning and data mining opens a new perspective in many area of health. In this context, relevance presents the concept of Quality of Life (QOL) in health and the possibility of developing Support Systems Clinical Decision (SADC) that use it. Through individual expectation of physical well-being, psychological, mental, emotional and spiritual patients, discussed variables and measures the quality of research area of life, we intend to make a study of data to establish correlations with laboratory, pharmaceutical data, socio-economic, among others, obtaining knowledge in terms of behavioral patterns of chronic patients, achieving a number of reliable data and easily accessible, capable of enhancing the decision-making process by the specialized medical teams, seeking to improve treatments and consequently the related quality of life with the Health chronically ill. This paper studied and compared related studies that develop systems for decision support and prediction in the clinical area, with emphasis on studies in the area of quality of life.