SENIOR: An Intelligent Web-Based Ecosystem to Predict High Blood Pressure Adverse Events Using Biomarkers and Environmental Data

Applied Sciences

Alberto Huertas Celdrán¹  Sergio López Bernal²  Javier Martínez Valverde²  Gregorio Martínez Pérez² 

[1] Communication Systems Group (CSG), Department of Informatics (IfI), University of Zürich UZH, CH 8050 Zürich, Switzerland;Departamento de Ingeniería de la Información y las Comunicaciones, University of Murcia, 30100 Murcia, Spain;

关键词: eHealth;    web-based platforms;    distributed services and platforms;    artificial intelligence;    hypertension;    telemedicine;   

DOI  :  10.3390/app11062506

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown