New Delhi: A team of Indian and US researchers has developed an artificial intelligence (AI)-based technique to detect diabetes without the traditional blood tests. The technique can detect whether a ...
Researchers from Chiba University have developed a lightweight peer-selection algorithm that significantly reduces data propagation delays without increasing resource usage on internet of things (IoT) ...
Type 2 diabetes mellitus (T2DM) constitutes a rapidly expanding global epidemic whose societal burden is amplified by deep-rooted health inequities. Socio-economic disadvantage, minority ethnicity, ...
An AI-powered lifestyle intervention app for prediabetes reduced the risk of diabetes similarly to traditional, human-led programs in adults in a recent study, researchers from Johns Hopkins Medicine ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Abstract: The IoT has emerged as a significant target for cyber-attacks, particularly with a focus on the routing protocol for low-power and lossy networks (RPL) within Wireless Sensor Networks (WSNs) ...
ABSTRACT: The recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...
Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
Abstract: Diabetes is now an important global health problem. This paper presents a patient-oriented electronic health record system for predicting diabetes with machine learning. The diagnosis given ...
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