Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19

MA Sadique, S Yadav, R Khan… - Chemical Society …, 2024 - pubs.rsc.org
More than four years have passed since an inimitable coronavirus disease (COVID-19)
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …

Scientometric analysis of ICT-assisted intelligent control systems response to COVID-19 pandemic

SK Sood, KS Rawat, D Kumar - Neural Computing and Applications, 2023 - Springer
COVID-19 outbreak has caused a devastating impact on the daily lives of people, public
health, and economic progress of infected countries. It has become a leading cause of …

Empowering healthcare with IoMT: Evolution, machine learning integration, security, and interoperability challenges

GR Pradyumna, RB Hegde, KB Bommegowda… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) is the subset of the Internet of Things (IoT) that
connects multiple medical devices, collect information/data from devices, and transmits and …

An IoMT platform for an integrated sustainable energy-efficient disaster relief supply chain to prevent severity-driven disruptions during pandemics

B Mosallanezhad, M Hajiaghaei-Keshteli… - Journal of Industrial …, 2023 - Elsevier
Pandemics, such as the Influenza virus and the contemporary COVID-19, can lead to
widespread disruptions in key segments, including the supply chain, beyond the capacity of …

[HTML][HTML] Enhanced patient-centricity: how the biopharmaceutical industry is optimizing patient care through AI/ML/DL

KH Zou, JZ Li - Healthcare, 2022 - mdpi.com
Technologies utilizing cutting-edge methodologies, including artificial intelligence (AI),
machine learning (ML) and deep learning (DL), present powerful opportunities to help …

A brief review and scientometric analysis on ensemble learning methods for handling COVID-19

MJ Shayegan - Heliyon, 2024 - cell.com
Numerous efforts and research have been conducted worldwide to combat the coronavirus
disease 2019 (COVID-19) pandemic. In this regard, some researchers have focused on …

MAIPFE: An Efficient Multimodal Approach Integrating Pre-Emptive Analysis, Personalized Feature Selection, and Explainable AI.

MD Sirapangi, S Gopikrishnan - Computers, Materials & …, 2024 - search.ebscohost.com
Abstract Medical Internet of Things (IoT) devices are becoming more and more common in
healthcare. This has created a huge need for advanced predictive health modeling …

Prognosis of COVID‐19 patients using lab tests: A data mining approach

F Khounraz, M Khodadoost… - Health Science …, 2023 - Wiley Online Library
Background The rapid prevalence of coronavirus disease 2019 (COVID‐19) has caused a
pandemic worldwide and affected the lives of millions. The potential fatality of the disease …

[PDF][PDF] A Novel Two Tier Missing at Random Type Missing Data Imputation using Enhanced Linear Interpolation Technique on Internet of Medical Things

P Iris Punitha… - Indian Journal …, 2023 - sciresol.s3.us-east-2.amazonaws …
Objectives: Data collection and distribution are essential components required for the victory
of Internet of Medical Things (IoMT) system. Generally, missing data is the most recurrent …

Examining the Impact of Machine Learning on Streamlining Data Analysis in Real-Time

PS Barve, S Mittal, MD Shamout… - … on Power Energy …, 2023 - ieeexplore.ieee.org
Cardiac arrest (CA) is a medical emergency defined as an abrupt and sustained loss of
cardiac output. Mortality fees for untreated CA stay at approximately 90%, indicating that …