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 …

Sentiment Analysis of Twitter Discourse on Omicron Vaccination in the USA Using VADER and BERT

S Marrapu, W Senn, V Prybutok - Journal of Data Science …, 2024 - ojs.bonviewpress.com
Amid the rapidly evolving discussions surrounding the Omicron vaccination, this research
leverages data from Twitter, focusing on the USA, from March 2022 to March 2023 …

Research on short-term precipitation forecasting method based on CEEMDAN-GRU algorithm

H Xu, Z Guo, Y Cao, X Cheng, Q Zhang, D Chen - Scientific Reports, 2024 - nature.com
Precipitation forecasting is vital for managing disasters, urban traffic, and agriculture. This
study develops an improved model for short-term precipitation forecasting by combining …

Public perception analysis on COVID-19 tweets using hybridised method

RK Jana, D Singh, S Maity, H Paul… - … Biology and Drug …, 2024 - inderscienceonline.com
One of the most widely used social media sites, now a days, is Twitter. During COVID-19
pandemic, people used Twitter to see the daily news and tweet and retweet something on …

Applying Machine Learning (The K-Means Algorithm) to Clustering and Analyzing Synovial Fluid Contents Among Different Ages and Genders in Healthy and …

BE Alabkary - 2024 - search.proquest.com
Abstract Machine learning, a subset of AI, has made a significant impact on the medical field
by improving the speed and accuracy of test results. Among the many discrete ML tools, k …