Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …

A secure, smart and peer-to-peer transactions framework can be developed by Blockchain.
Blockchain has enormous potential to turn health care systems as a horizontal technology …

Connected care applications are increasingly used to achieve a more continuous and
pervasive healthcare follow-up of chronic diseases. Within these applications, objective …

Monitoring biosignals is crucial for intelligent health applications. Internet of Health Things
(IoHT) provides a new path for monitoring the biosignals. Environment adaptive data …

The onset of cancer disease is a traumatic experience for both patients and their families
that suddenly change the patient's life and is accompanied by important physical, emotional …

Abstract According to the World Health Organization (WHO) data from 2000 to 2019, the
number of people living with Diabetes Mellitus and Chronic Kidney Disease (CKD) is …

Pollutants from construction activities of building projects can have serious negative impacts
on the natural environment and human health. Carrying out monitoring of environmental …

Hypertension is a noncommunicable disease (NCD) that causes global concern, high costs
and a high number of deaths. Internet of Things, Ubiquitous Computing, and Cloud …

The proposed theme of this paper is to develop a system for remote intervention assistance
with a person in difficulty, which is becoming increasingly important as the world's …

In this paper, we propose a stroke medical ontology that provides medical knowledge to
accompany AI-based stroke disease prediction system's results that were arrived at based …