Smart healthcare in the age of AI: recent advances, challenges, and future prospects
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Machine learning tools for long-term type 2 diabetes risk prediction
A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
[HTML][HTML] The future of computing paradigms for medical and emergency applications
Healthcare is of particular importance in everyone's life, and keeping the advancement of it
on a good pace is a priority of any country, as it highly influences the overall well-being of its …
on a good pace is a priority of any country, as it highly influences the overall well-being of its …
[HTML][HTML] A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home
Due to the COVID-19 pandemic, health services around the globe are struggling. An
effective system for monitoring patients can improve healthcare delivery by avoiding in …
effective system for monitoring patients can improve healthcare delivery by avoiding in …
[HTML][HTML] Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time
With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …
become critical to improving patient care and reducing healthcare costs. The Internet of …
Supervised and unsupervised machine learning based review on diabetes care
T Chauhan, S Rawat, S Malik… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Sedentary lifestyle, poor diet and work pressure lead the diabetes disease which may cause
several fatal health issues like heart attack, strokes, kidney failure, nerve damage etc …
several fatal health issues like heart attack, strokes, kidney failure, nerve damage etc …
[HTML][HTML] An intelligent diabetic patient tracking system based on machine learning for E-health applications
Background: Continuous surveillance helps people with diabetes live better lives. A wide
range of technologies, including the Internet of Things (IoT), modern communications, and …
range of technologies, including the Internet of Things (IoT), modern communications, and …
[HTML][HTML] A smart IoMT based architecture for E-healthcare patient monitoring system using artificial intelligence algorithms
Generally, cloud computing is integrated with wireless sensor network to enable the
monitoring systems and it improves the quality of service. The sensed patient data are …
monitoring systems and it improves the quality of service. The sensed patient data are …
Deep belief neural network for 5G diabetes monitoring in big data on edge IoT
The diabetes is a critical disease from the small children to old age people. Due to improper
diet and physical activities of the living population, obesity becomes prevalent in young …
diet and physical activities of the living population, obesity becomes prevalent in young …