The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases
On global scale, the current situation of pandemic is symptomatic of increased incidences of
contagious diseases caused by pathogens. The faster spread of these diseases, in a …
contagious diseases caused by pathogens. The faster spread of these diseases, in a …
Recent advancements in emerging technologies for healthcare management systems: a survey
In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Blockchain technologies have quickly gained pace as a new study niche in numerous …
Towards development of IoT-ML driven healthcare systems: A survey
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 …
change our view at the traditional treatment methods. In IoT-ML-based healthcare …
[HTML][HTML] Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine
The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …
though ad hoc computational solutions are required. The most recent Machine Learning …
Impact of big data analysis on nanosensors for applied sciences using neural networks
S Shitharth, P Meshram, PR Kshirsagar… - Journal of …, 2021 - Wiley Online Library
In the current‐generation wireless systems, there is a huge requirement on integrating big
data which can able to predict the market trends of all application systems. Therefore, the …
data which can able to predict the market trends of all application systems. Therefore, the …
Remote health diagnosis and monitoring in the time of COVID-19
Abstract Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of …
An efficient and provable secure certificate-based combined signature, encryption and signcryption scheme for internet of things (IoT) in mobile health (M-health) …
Mobile health (M-Health) system is the remote form of Wireless Body Area Networks
(WBAN), which can be used for collecting patient's health data in real-time with mobile …
(WBAN), which can be used for collecting patient's health data in real-time with mobile …
A clustering based Swarm Intelligence optimization technique for the Internet of Medical Things
E El-shafeiy, KM Sallam, RK Chakrabortty… - Expert Systems with …, 2021 - Elsevier
Abstract Internet of Medical Things (IoMT) is a recently introduced paradigm which has
gained relevance as an emerging technology for widely connected and heterogeneous …
gained relevance as an emerging technology for widely connected and heterogeneous …
A sensor-based data analytics for patient monitoring in connected healthcare applications
Nowadays, keeping a strong and good health is one of the main concern of the general
public or governments. The Internet of Things (IoT) has been emerged as an efficient …
public or governments. The Internet of Things (IoT) has been emerged as an efficient …