Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies
Despite the rapid development of the Internet of Things technologies where more and more
medical sensors and gadgets are connected to the Internet, limited energy resources due to …
medical sensors and gadgets are connected to the Internet, limited energy resources due to …
[Retracted] Enhance‐Net: An Approach to Boost the Performance of Deep Learning Model Based on Real‐Time Medical Images
Real‐time medical image classification is a complex problem in the world. Using IoT
technology in medical applications assures that the healthcare sectors improve the quality of …
technology in medical applications assures that the healthcare sectors improve the quality of …
Clinical and laboratory approach to diagnose COVID-19 using machine learning
Abstract Coronavirus 2 (SARS-CoV-2), often known by the name COVID-19, is a type of
acute respiratory syndrome that has had a significant influence on both economy and health …
acute respiratory syndrome that has had a significant influence on both economy and health …
[HTML][HTML] A predictive analytics model for COVID-19 pandemic using artificial neural networks
The COVID-19 pandemic spread rapidly around the world and is currently one of the most
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
leading causes of death and heath disaster in the world. Turkey, like most of the countries …
A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
FC-SEEDA: Fog computing-based secure and energy efficient data aggregation scheme for Internet of healthcare Things
IoT is used in healthcare to monitor patients via wearable sensors to measure different
physiological information. This collected information can be stored, processed, and made …
physiological information. This collected information can be stored, processed, and made …
Internet of Things‐based healthcare system on patient demographic data in Health 4.0
FJ Abdullayeva - CAAI Transactions on Intelligence …, 2022 - Wiley Online Library
Recently, the spread of COVID‐19 virus infection and the increase of people number with
chronic diseases have attracted great attention all over the world. The detection and control …
chronic diseases have attracted great attention all over the world. The detection and control …
The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China
T Feng, Z Zheng, J Xu, M Liu, M Li, H Jia… - Frontiers in public …, 2022 - frontiersin.org
Objective This cross-sectional research aims to develop reliable predictive short-term
prediction models to predict the number of RTIs in Northeast China through comparative …
prediction models to predict the number of RTIs in Northeast China through comparative …
A glimpse into the future: modelling global prevalence of hypertension
EB Boateng, AG Ampofo - BMC Public Health, 2023 - Springer
Background Hypertension is a major risk factor for cardiovascular diseases. Insights and
foresights on trends of hypertension prevalence are crucial to informing health policymaking …
foresights on trends of hypertension prevalence are crucial to informing health policymaking …
The impact of telemedicine on patients with Hidradenitis Suppurativa in the COVID-19 Era
(1) Background: Hidradenitis suppurativa is a chronic, inflammatory skin disease. It is
characterized by the transformation of normal skin into skin with abscesses, nodules …
characterized by the transformation of normal skin into skin with abscesses, nodules …