Trends in using IoT with machine learning in health prediction system
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …
(IoT) data. These hybrid technologies work smartly to improve the decision-making process …
Integrating ai into health informatics for enhanced public health in Africa: a comprehensive review
This study delves into the integration of Artificial Intelligence (AI) within the field of health
informatics and its transformative effect on public health outcomes in Africa. It will cover how …
informatics and its transformative effect on public health outcomes in Africa. It will cover how …
Machine learning-based IoT system for COVID-19 epidemics
The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is
predictable that the world will be fighting the pandemic by taking precautions steps before …
predictable that the world will be fighting the pandemic by taking precautions steps before …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
[PDF][PDF] Real-Time Health Monitoring with IoT
In today's lives, continuously monitoring health has become the biggest challenge especially
with the increasing risks of sudden health-related issues which occurs because of delayed …
with the increasing risks of sudden health-related issues which occurs because of delayed …
[HTML][HTML] Telemedicine for follow-up management of patients after liver transplantation: cohort study
M Tian, B Wang, Z Xue, D Dong, X Liu… - JMIR medical …, 2021 - medinform.jmir.org
Background: Technical capabilities for performing liver transplantation have developed
rapidly; however, the lack of available livers has prompted the utilization of edge donor …
rapidly; however, the lack of available livers has prompted the utilization of edge donor …
Smart Foot Monitoring: A cutting-edge solution for early detection of diabetic complications using CNN model
The proposed system for early detection of diabetic complications incorporates advanced
technology into conventional algorithms, employing intelligent sensors that communicate to …
technology into conventional algorithms, employing intelligent sensors that communicate to …
Impact of IoT in Biomedical Applications Using Machine and Deep Learning
Machine learning (ML) is a strong means to bring perspectives concealed on the internet of
things (IoT) data. Such composite fields act cleverly to improve the decision‐making …
things (IoT) data. Such composite fields act cleverly to improve the decision‐making …
ECG diagnosis for arrhythmia detection with a cloud-based service and a wearable sensor network in a smart city environment
Irregular heartbeats are a primary indicator of Cardiovascular Disease (CVD), which is the
leading cause of death in a develo** smart city environment. Wearable devices can …
leading cause of death in a develo** smart city environment. Wearable devices can …
Applications of artificial intelligence and machine learning‐enabled businesses: A SWOT analysis for human society
Develo** intelligent business solutions, efficient in process implementation and effective
in customer relationship management, has been well sought after since the advent of …
in customer relationship management, has been well sought after since the advent of …