[PDF][PDF] Prediction of stroke disease using deep CNN based approach

M Ashrafuzzaman, S Saha, K Nur - Journal of Advances in …, 2022 - researchgate.net
Stroke is a medical condition that occurs when there is any blockage or bleeding of the
blood vessels either interrupts or reduces the supply of blood to the brain resulting in brain …

Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

CC Hsu, Y Kao, CC Hsu, CJ Chen, SL Hsu… - BMC Endocrine …, 2023 - Springer
Background Hyperglycemic crises are associated with high morbidity and mortality. Previous
studies have proposed methods to predict adverse outcomes of patients in hyperglycemic …

Heart Disease and Chronic Kidney Disease Prediction based on Internet of Things using FRNN Algorithm

S Chitra, V Jayalakshmi - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Even if people are rushing to go to work and have a hectic schedule, they are taking good
care of themselves till symptoms appear. Obesity and weight increment are two attributes …

Internet of things based real-time hyperglycemia and hypoglycemia monitoring using wearable biosensors

KM Abubeker, S Baskar - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Using non-invasive wearable devices and the Internet of Healthcare Things, blood glucose
levels can now be monitored more accurately. Maintaining stable blood glucose levels is an …

Performance Analysis of a Machine Learning Enabled Anomaly Intruder Detector in Wireless Networks

R Ramyea, N Kasthuri, S Preethi… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Rapid technological development in wireless networks has offered a smart way of living.
Those wireless networks encounter several other security problems which are difficult to …