The internet of medical things and artificial intelligence: trends, challenges, and opportunities

K Kakhi, R Alizadehsani, HMD Kabir, A Khosravi… - Biocybernetics and …, 2022 - Elsevier
High quality and efficient medical service is one of the major factors defining living
standards. Developed countries strive to make their healthcare systems as efficient and cost …

A review of artificial intelligence, big data, and blockchain technology applications in medicine and global health

VK Chattu - Big Data and Cognitive Computing, 2021 - mdpi.com
Artificial intelligence (AI) programs are applied to methods such as diagnostic procedures,
treatment protocol development, patient monitoring, drug development, personalized …

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

F Ali, S El-Sappagh, SMR Islam, D Kwak, A Ali… - Information …, 2020 - Elsevier
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …

A healthcare monitoring system for the diagnosis of heart disease in the IoMT cloud environment using MSSO-ANFIS

MA Khan, F Algarni - IEEE access, 2020 - ieeexplore.ieee.org
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 …

Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …

An effective training scheme for deep neural network in edge computing enabled Internet of medical things (IoMT) systems

IV Pustokhina, DA Pustokhin, D Gupta, A Khanna… - IEEE …, 2020 - ieeexplore.ieee.org
At present times, the real-time requirement on the multiaccess healthcare monitoring system,
information mining, and efficient disease diagnosis of health conditions is a difficult process …

An efficient clinical support system for heart disease prediction using TANFIS classifier

J Sekar, P Aruchamy… - Computational …, 2022 - Wiley Online Library
In today's world, the advancement of telediagnostic equipment plays an essential role to
monitor heart disease. The earlier diagnosis of heart disease proliferates the compatibility of …

An efficient IoT-based patient monitoring and heart disease prediction system using deep learning modified neural network

SS Sarmah - Ieee access, 2020 - ieeexplore.ieee.org
The leading causes of death worldwide are chronic illnesses suchlike diabetes, Heart
Disease (HD), cancer as well as chronic respiratory malady. It is remarkably intricate to …

Towards development of IoT-ML driven healthcare systems: A survey

NS Sworna, AKMM Islam, S Shatabda… - Journal of Network and …, 2021 - Elsevier
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …

[Retracted] Smart Heart Disease Prediction System with IoT and Fog Computing Sectors Enabled by Cascaded Deep Learning Model

KB Raju, S Dara, A Vidyarthi… - Computational …, 2022 - Wiley Online Library
Chronic illnesses like chronic respiratory disease, cancer, heart disease, and diabetes are
threats to humans around the world. Among them, heart disease with disparate features or …