Abstract: The rapid growth of Internet of Things (IoT) devices increases their vulnerability to attacks, necessitating stronger security measures. The machine learning technique is one of the most ...

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 ...

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 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, ...

1 School of Technology, Computer Science & I.T Department, Njala University, Bo, Sierra Leone. 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. 3 School of Software ...

Abstract: Diabetes detection is the goal of this research. As the Diabetes mellitus has serious consequences such as damage to heart, eyes, nerves, and kidneys of human beings so its early and ...