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[HTML][HTML] Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
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 …
A systematic review of emerging information technologies for sustainable data-centric health-care
Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
ICT in nursing and patient healthcare management: sco** review and case studies
Over the past few decades, Information and Communication Technologies (ICT) have
revolutionized the fields of nursing and patient healthcare management. This sco** review …
revolutionized the fields of nursing and patient healthcare management. This sco** review …
Reliable and resilient AI and IoT-based personalised healthcare services: A survey
Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …
Goals) developments have transformed the healthcare sector towards more personalized …
Prediction of biomedical signals using deep learning techniques
K Kalaivani, PR Kshirsagarr… - Journal of Intelligent …, 2023 - content.iospress.com
The electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG)
are all very useful diagnostic techniques. The widespread availability of mobile devices plus …
are all very useful diagnostic techniques. The widespread availability of mobile devices plus …
Smart cardiac framework for an early detection of cardiac arrest condition and risk
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …
Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India
Purpose The purpose of this study is to identify the major factors influencing the adoption of
health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework …
health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework …
e-Health monitoring system with diet and fitness recommendation using machine learning
D Mogaveera, V Mathur… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Nowadays, more individuals are being diagnosed with diseases that are becoming chronic
due to not following the proper diet, not doing proper exercise regularly, or not giving proper …
due to not following the proper diet, not doing proper exercise regularly, or not giving proper …
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 …
Changing perspective on data in designing for active environments
L van Renswouw, S Bogers, C Lallemand… - Proceedings of the …, 2024 - dl.acm.org
Smart solutions provide increasing quality and availability of data. This brings new
challenges for designers as it offers novel design opportunities and interlaces disciplines. At …
challenges for designers as it offers novel design opportunities and interlaces disciplines. At …