Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey

J Chen, Y Shi, C Yi, H Du, J Kang, D Niyato - arXiv preprint arXiv …, 2024 - arxiv.org
The Internet of things (IoT) can significantly enhance the quality of human life, specifically in
healthcare, attracting extensive attentions to IoT-healthcare services. Meanwhile, the human …

Variational autoencoders for data augmentation in clinical studies

D Papadopoulos, VD Karalis - Applied Sciences, 2023 - mdpi.com
Featured Application Variational autoencoders, which are a type of neural network, are
introduced in this study as a means to virtually increase the sample size of clinical studies …

An intelligent deep feature based metabolism syndrome prediction system for sleep disorder diseases

PR Anisha, C Kishor Kumar Reddy… - Multimedia Tools and …, 2024 - Springer
Abstract The Obstructive Sleep Apnea (OSA) analysis and prediction is the hottest topic in
the medical healthcare industry. However, identifying the sleep disorder and its Severity is …

An improved approach for atrial fibrillation detection in long-term ECG using decomposition transforms and least-squares support vector machine

T Pander - Applied Sciences, 2023 - mdpi.com
Atrial fibrillation is a common heart rhythm disorder that is now becoming a significant
healthcare challenge as it affects more and more people in developed countries. This paper …

Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients

Y Huang, W Liu, S Li, Y Guo, W Chen - Applied Sciences, 2023 - mdpi.com
A crucial area of study in data mining is outlier detection, particularly in the areas of network
security, credit card fraud detection, industrial flaw detection, etc. Existing outlier detection …

Missing Data Statistics Provide Causal Insights into Data Loss in Diabetes Health Monitoring by Wearable Sensors

CIR Braem, US Yavuz, HJ Hermens, PH Veltink - Sensors, 2024 - mdpi.com
Background: Data loss in wearable sensors is an inevitable problem that leads to
misrepresentation during diabetes health monitoring. We systematically investigated …

Wireless Mouth Motion Recognition System Based on EEG-EMG Sensors for Severe Speech Impairments

KS Moon, JS Kang, SQ Lee, J Thompson, N Satterlee - Sensors, 2024 - mdpi.com
This study aims to demonstrate the feasibility of using a new wireless
electroencephalography (EEG)–electromyography (EMG) wearable approach to generate …

Processing of clinical notes for efficient diagnosis with feedback attention–based BiLSTM

NR Kolukula, S Puli, C Babi, RP Kalapala… - Medical & Biological …, 2024 - Springer
Predicting a patient's future health state through the analysis of their clinical records is an
emerging area in the field of intelligent medicine. It has the potential to assist healthcare …

Generative AI-enabled Knowledge Base Fine-tuning: Enhancing Feature Engineering for Customer Churn

M Shahabikargar, A Beheshti, W Mansoor, X Zhang… - 2024 - researchsquare.com
Customers are the most critical component in a business's success regardless of the
industry or product. Companies make significant efforts to acquire and, more importantly …