Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
Prediction of heart disease using deep convolutional neural networks
Heart diseases are currently a major cause of death in the world. This problem is severe in
developing countries in Africa and Asia. A heart disease predicted at earlier stages not only …
developing countries in Africa and Asia. A heart disease predicted at earlier stages not only …
[HTML][HTML] Applied picture fuzzy sets with knowledge reasoning and linguistics in clinical decision support system
H Van Pham, P Moore, BC Cuong - Neuroscience Informatics, 2022 - Elsevier
Motivation: Healthcare systems globally face significant resource and financial challenges.
Moreover, these challenges have resulted in an existential paradigm shift driven by:(i) the …
Moreover, these challenges have resulted in an existential paradigm shift driven by:(i) the …
Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm
LH Son, A Ciaramella, DT Thu Huyen… - Neural Computing and …, 2020 - Springer
Hospital cost analysis (HCA) becomes a key topic and forefront of politics, social welfare and
medical discourse. HCA includes a wide range of expenses; yet the foremost attention …
medical discourse. HCA includes a wide range of expenses; yet the foremost attention …
AI-Driven cardiac wellness: Predictive modeling for elderly heart health optimization
The integration of the Internet of Things with the Cloud improves our lives by facilitating
smooth connections between people and items. Predictive analytics, fueled by cutting-edge …
smooth connections between people and items. Predictive analytics, fueled by cutting-edge …
A proposal of deep learning model for classifying user interests on social networks
XT Dinh, H Van Pham - Proceedings of the 4th international conference …, 2020 - dl.acm.org
In the recent years, there are huge data extracted from social networks in both static and real-
time analysis, such as Facebook, Twitter, LinkedIn, and Instagram. Recently, most …
time analysis, such as Facebook, Twitter, LinkedIn, and Instagram. Recently, most …
A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing
Sažetak Patients now want a contemporary, advanced healthcare system that is faster and
more individualized and that can keep up with their changing needs. An edge computing …
more individualized and that can keep up with their changing needs. An edge computing …
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry
G Xu, M Xu - Journal of Grid Computing, 2024 - Springer
Recent modern computing and trends in digital transformation provide a smart healthcare
system for predicting diseases at an early stage. In healthcare services, Internet of Things …
system for predicting diseases at an early stage. In healthcare services, Internet of Things …
Distributed probabilistic fuzzy rule mining for clinical decision making
S Sharif, MR Akbarzadeh-T - Fuzzy Information and …, 2021 - ieeexplore.ieee.org
INTRODUCTION: With the growing size, complexity, and distributivity of databases,
efficiency and scalability have become highly desirable attributes of data mining algorithms …
efficiency and scalability have become highly desirable attributes of data mining algorithms …
Automatic heart disease diagnosis based on MRI image using deep neural network: Adaptive bacterial foraging optimization algorithm-based feature selection
M Pradhan, A Bhuiyan - Diverse Perspectives and State-of-the-Art …, 2023 - igi-global.com
In this chapter, the authors propose an adaptive bacterial foraging optimization (ABFO)
algorithm for selection of features to increase the classification accuracy of heart disease …
algorithm for selection of features to increase the classification accuracy of heart disease …