QVida+
Contractor: P2020
Begin: 01/2016 - End: 12/2018
Partners: Optimizer, UPorto (FEUP/LIACC), UMinho
Project Contact: Luís Paulo Reis
Keywords: Quality of life Predictive data-mining Biometric data
As a result of improved living conditions and medical advances, there is a decrease in the mortality rate and increase in chronic diseases. However, the increasing life expectancy of patients, often causes great pain and considerable adverse effects. Beyond prolonging life, it is essential increase the patient’s quality of life (QoL). The QoL is now considered an important aspect in clinical practice for patients with chronic illnesses, but the methods to assess QoL, automatic or semi-automatic mode and its use in clinical decision support are still underexplored and its almost non-existent applications. The QVida+ design 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 of evaluation and utilization of QoL. It is intended to develop an information system (IS) which will use the physical and behavioral data of the patient, raised via sensors and mobile devices, in conjunction with machine learning techniques, allowing the assessment of QOL is carried out continuously, with based measurement tools that significantly reduce the response time to the questionnaires and without affecting the daily patient. The IS will adapt continuously to each patient, learning from him, allowing the prediction of responses to be customized. The project will use R&D results provided by QoLis project, which allows you to process the survey responses and calculate from these, the QoL of each patient. This gives an additional step to the QoLiS project, allowing continuous assessment of QoL and the permanent interaction with the patient providing, in addition to information for medical, information for the patient keeping it in the center of the decision. The IS will be applied to any disease but to validate the approach will be developed for oncologic patients in partnership with the University Hospital of Braga.
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