Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data.

"Declarations Ethical approvalQuestionnaires were collected as part of a nation-wide hypertension screening in Italy coordinated by the Italian Society of Hypertension. Informed consent was obtained for each participant onsite. This work was conducted in conformity with the Helsinki Declaration. No personal information was requested, as all forms were anonymous, making the identification of participants not possible. Competing interestsThe authors have no competing interests associated with this study, or other interests that might be perceived to influence the results and/or discussion reported in this paper. Competing interests The authors have no competing interests associated with this study, or other interests that might be perceived to influence the results and/or discussion reported in this paper."

"Funding This work was supported by the University of Urbino through the competitive call “Health and Food Safety Promotion”: grant BIT4Food: Blockchain and Internet of Things for Food Safety."