Objective We aimed to identify existing hypertension risk prediction models developed using
traditional regression-based or machine learning approaches and compare their predictive …

Introduction: Human gut microbiota is believed to be directly or indirectly involved in
cardiovascular diseases and hypertension. However, the identification and functional status …

In the current era of the digital world, the hash of any digital means considered as a footprint
or fingerprint of any digital term but from the ancient era, human fingerprint considered as …

Activity recognition plays an essential role in bridging the gap between the low-level sensor
data and the high-level applications in ambient-assisted living systems. With the aim to …

Activity classification in smartphones helps us to monitor and analyze the physical activities
of the user in daily life and has potential applications in healthcare systems. This paper …

In this paper, a hybrid model using modular neural networks and fuzzy logic was designed
to provide the hypertension risk diagnosis of a person. This model considers age, risk factors …

Hypertension is a widespread chronic disease. Risk prediction of hypertension is an
intervention that contributes to the early prevention and management of hypertension. The …

We are beginning a new era of Smart Diagnostics—integrated biosensors powered by
recent innovations in embedded electronics, cloud computing, and artificial intelligence (AI) …

Human gut microbiota can be affected by a variety of factors, including geography. This
study aimed to clarify the regional specific characteristics of gut microbiota in rural residents …

Abstract Background and Objective: As the population becomes older and more overweight,
the number of potential high-risk subjects with hypertension continues to increase. ICT …