The intelligent optimization framework for predicting the vulnerable range of tumor cells
using Internet of Things (IoT) provides a robust and efficient solution for monitoring …

This paper discusses the development of an IoT-based Congenital Heart Disease prediction
system to automate the process of predicting cardiovascular diseases. This system is based …

with the assistance of Information Clustering Algorithm, the smart analysis of cellular
damage and cancerous prediction is becoming easier and much more accurate over time …

The proliferation of machine learning and image analysis technologies in healthcare has
made early detection of diseases possible, including the early detection of retinoblastoma, a …

The application of Internet of Things (IoT) to Congenital Heart Disease (CHD) monitoring is
ushering in a new era of health care. Intelligent IoT-based devices used together with cloud …

Ushbu maqolada BI va bulutli tuzilmalarining o'zaro ishlashi va tarmoq integratsiyasining
muhim elementlari, ikki tuzilma orasidagi munosabatlarni rivojlantirish bosqichlari keltirilgan …

Neural networks have been increasingly utilized for smart detection of neuro-pathological
effects of patients with Alzheimer's Disease. By leveraging the vast amounts of data …

This paper presents a novel closed loop control scheme for non-invasive human brain
stimulation (NIBS) prediction in stroke patients. The proposed scheme utilizes an artificial …

Cloud computing has been increasingly adopted by many health organizations in order to
improve the security and performance of their information systems. One of the main …

Cloud computing in the healthcare industry allows medical organizations to store patient
data securely and in compliance with privacy regulations. Furthermore, it enables remote …