Artificial intelligence and internet of things enabled disease diagnosis model for smart healthcare systems
The recent advancements in Internet of Things (IoT), cloud computing, and Artificial
Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By …
Intelligence (AI) transformed the conventional healthcare system into smart healthcare. By …
IoT based heart disease prediction and diagnosis model for healthcare using machine learning models
M Ganesan, N Sivakumar - 2019 IEEE international conference …, 2019 - ieeexplore.ieee.org
Latest advancements in field of IoT and sensing technologies can be employed for online
healthcare services. The gigantic quantity of information is being formed through the IoT …
healthcare services. The gigantic quantity of information is being formed through the IoT …
[HTML][HTML] An efficient IoT-Artificial intelligence-based disease prediction using lightweight CNN in healthcare system
AA Malibari - Measurement: Sensors, 2023 - Elsevier
In recent years, chronic disease (heart or kidney disease) is a leading cause of death
worldwide. Chronic disease prediction is a very complicated task. Doctors who are …
worldwide. Chronic disease prediction is a very complicated task. Doctors who are …
Two-stage classification model for the prediction of heart disease using IoMT and artificial intelligence
Internet of Things (IoT) technology has recently been applied in healthcare systems as an
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
Internet of Medical Things (IoMT) to collect sensor information for the diagnosis and …
RETRACTED ARTICLE: An optimal artificial neural network based big data application for heart disease diagnosis and classification model
R Thanga Selvi, I Muthulakshmi - Journal of Ambient Intelligence and …, 2021 - Springer
At present days, world is facing several issues like irregular distribution of medicinal
resources, new chronic diseases, and the raising operating cost. The way of combining …
resources, new chronic diseases, and the raising operating cost. The way of combining …
Diagnosis of heart disease using internet of things and machine learning algorithms
A Kishor, W Jeberson - … of second international conference on computing …, 2021 - Springer
In the current scenario of the digital world, the healthcare industry generates a huge amount
of patient data. Manual handling of these produced data becomes very difficult for doctors …
of patient data. Manual handling of these produced data becomes very difficult for doctors …
A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS
The IoT has applications in many areas such as manufacturing, healthcare, and agriculture,
to name a few. Recently, wearable devices have become popular with wide applications in …
to name a few. Recently, wearable devices have become popular with wide applications in …
Enhanced deep learning assisted convolutional neural network for heart disease prediction on the internet of medical things platform
Y Pan, M Fu, B Cheng, X Tao, J Guo - Ieee Access, 2020 - ieeexplore.ieee.org
The diagnosis of heart disease has become a difficult medical task in the present medical
research. This diagnosis depends on the detailed and precise analysis of the patient's …
research. This diagnosis depends on the detailed and precise analysis of the patient's …
Heart failure patients monitoring using IoT-based remote monitoring system
Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …
technology advances. Nowadays, online services are replacing physical infrastructure in …
A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model
A continuous heart disease monitoring system is one of the significant applications specified
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …
by the Internet of Things (IoT). This goal might be achieved by combining sophisticated …