Leveraging IoT-aware technologies and AI techniques for real-time critical healthcare applications

AT Shumba, T Montanaro, I Sergi, L Fachechi… - Sensors, 2022 - mdpi.com
Personalised healthcare has seen significant improvements due to the introduction of health
monitoring technologies that allow wearable devices to unintrusively monitor physiological …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
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 …

Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques

AA AlZubi, M Al-Maitah, A Alarifi - Soft Computing, 2021 - Springer
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …

[Retracted] IoT‐Enabled Framework for Early Detection and Prediction of COVID‐19 Suspects by Leveraging Machine Learning in Cloud

MH Mir, S Jamwal, A Mehbodniya… - Journal of healthcare …, 2022 - Wiley Online Library
COVID‐19 is the repugnant but the most searched word since its outbreak in November
2019 across the globe. The world has to battle with it until an effective solution is developed …

[PDF][PDF] Review on hypertension diagnosis using expert system and wearable devices

MIM Sani, NAS Abdullah, MM Rosli - International Journal of …, 2022 - academia.edu
The popularity of smartphones and wearable devices is increasing in the global market.
These devices track physical exercise records, heartbeat, medicines, and self-health …

Cyber attack detection in healthcare data using cyber-physical system with optimized algorithm

F Alrowais, HG Mohamed, FN Al-Wesabi… - Computers and …, 2023 - Elsevier
A medical cyber-physical system (MCPS) integrates medical sensor devices with cyber
(information) components, which creates a sensitive approach and provides security. The …

A novel CNN-TLSTM approach for dengue disease identification and prevention using IoT-fog cloud architecture

SN Manoharan, KMVM Kumar, N Vadivelan - Neural Processing Letters, 2023 - Springer
One of the mosquito-borne pandemic viral infections is Dengue which is mostly transmitted
to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease …

Insights on the internet of things: past, present, and future directions

T Sutikno, D Thalmann - … Computing Electronics and Control), 2022 - telkomnika.uad.ac.id
The internet of things (IoT) is rapidly expanding and improving operations in a wide range of
real-world applications, from consumer IoT and enterprise IoT to manufacturing and …

[HTML][HTML] The classification of autism spectrum disorder by machine learning methods on multiple datasets for four age groups

DD Khudhur, SD Khudhur - Measurement: Sensors, 2023 - Elsevier
The world has seen the advent of numerous illnesses that cannot be medically recognized,
such as Autism Spectrum Disorder (ASD). It affects several behavioral domains, including …

IoT-based disease prediction using machine learning

SA Siddiqui, A Ahmad, N Fatima - Computers and Electrical Engineering, 2023 - Elsevier
COVID-19 disrupted lives and livelihoods and affected various sectors of the economy. One
such domain was the already overburdened healthcare sector, which faced fresh challenges …