… The Internet of Medical Things (IoMTs) is gradually replacing the traditional healthcare
system. … Machine Learning (ML) has been successfully employed in the attack detection and …

… The Internet of Medical Things (IoMT) has revolutionized the … are challenging to implement
in medical equipment due to the … Systems (IDS) based on Machine Learning (ML) can bring a …

… machine learning as important methods in healthcare and related disciplines. … machine
learning and artificial intelligence. Early detection slows disease progression and lowers medical …

… on machine learning-based IoT service is made with special concentration on tele-medical …
For results, this work provides a detailed collection of machine learning and IoT-based …

… challenges to modern medical and healthcare systems. Particularly, machine learning
technology can be used to process the data involved in IoMT for medical analysis and disease …

… In order to provide the main elements of privacy, this paper presents a developed
machine learning authentication that allows a server to use the SVM classifiers for users’ …

… But machine learning has enabled a staggering alteration in medical imaging, especially
in … of data availability [7], machine learning models have shown human-level activities in …

… The Internet of Medical Things (IoMT) is a subset of the IoT, in which medical equipment …
neural network (DRNN) and supervised machine learning models (random forest, decision tree, …

… machine learning and quantum-enhanced machine learning algorithms in healthcare are
extensively used to aid the patients and medical … this, the Internet of Medical Things (IoMT) has …

… Medical data processing has … Things (IoT) and sensor technologies, which generate patient
indexes in hospital data networks. Innovations like distributed computing, Machine Learning (…