Abstract
Web platforms are gaining relevance in eHealth, where they ease the interaction between patients and clinician. However, some clinical fields, such as the cardiovascular one, still need more effort because cardiovascular diseases are the principal cause of death and medical resources expenditure worldwide. The lack of daily control is the main reason hypertension is a current health problem, and medical web services could improve this situation. To face this challenge, this work proposes a novel intelligent web-based ecosystem, called SENIOR, capable of predicting adverse blood pressure events. The innovation of the SENIOR ecosystem relies on a wearable device measuring patient’s biomarkers such as blood pressure, a mobile application acquiring patient’s information, and a web platform consulting environmental services, processing data, and predicting blood pressure. The second contribution of this work is to consider novel environmental features based on the users’ location, such as climate and pollution data, to increase the knowledge about known variables affecting hypertension. Finally, our last contribution is a proof of concept with several machine learning algorithms predicting blood pressure values both in real-time and future temporal windows within one day has demonstrated the suitability of SENIOR.
Highlights
Published: 11 March 2021The evolution of communication systems in recent decades has tremendously impacted the way people communicate, allowing almost instantaneous interactions
We present the results obtained from the evaluation of the trained machine learning (ML) models, using the Root Mean Square Error (RMSE) and the R-squared correlation coefficient metrics to measure the quality of the predictions
This work presents SENIOR, a web ecosystem able to perform predictions of blood pressure values and composed of three main elements, which represents the first contribution of this work
Summary
Published: 11 March 2021The evolution of communication systems in recent decades has tremendously impacted the way people communicate, allowing almost instantaneous interactions. The development of new technologies in recent years has allowed the creation of a wide variety of web platforms, enabling the definition of new features and functionalities in web ecosystems. These advances are especially relevant in the era of big data and artificial intelligence, serving as a bridge between users and cloud computing environments. Based on the versatility of these technologies, web ecosystems have been developed for an enormous range of scenarios, where eHealth environments are very promising for their positive impact on patients’ health In this context, the concept of telemedicine has been defined as a way of treating patients’.
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