A systematic literature review of enabling IoT in healthcare: Motivations, challenges, and recommendations
HH Mohamad Jawad, Z Bin Hassan, BB Zaidan… - Electronics, 2022 - mdpi.com
Internet of things (IoT) has revolutionized how we utilize technology over the past decade.
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …
A deformable CNN architecture for predicting clinical acceptability of ECG signal
The degraded quality of the electrocardiogram (ECG) signals is the main source of false
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
alarms in critical care units. Therefore, a preliminary analysis of the ECG signal is required to …
TrustHealth: Enhancing eHealth Security with Blockchain and Trusted Execution Environments
J Li, X Luo, H Lei - Electronics, 2024 - mdpi.com
The rapid growth of electronic health (eHealth) systems has led to serious security and
privacy challenges, highlighting the critical importance of protecting sensitive healthcare …
privacy challenges, highlighting the critical importance of protecting sensitive healthcare …
Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model
Atrial arrhythmias are more frequently encountered arrhythmias with a significant impact on
mortality and morbidity. Electrocardiogram (ECG) consisting of P, Q, R, S, and T waves is a …
mortality and morbidity. Electrocardiogram (ECG) consisting of P, Q, R, S, and T waves is a …
Machine Learning Methods in Student Mental Health Research: An Ethics-Centered Systematic Literature Review.
M Drira, S Ben Hassine, M Zhang… - Applied Sciences (2076 …, 2024 - search.ebscohost.com
This study conducts an ethics-centered analysis of the AI/ML models used in Student Mental
Health (SMH) research, considering the ethical principles of fairness, privacy, transparency …
Health (SMH) research, considering the ethical principles of fairness, privacy, transparency …
Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification
Sparse linear discriminant analysis (LDA) is a popular machine learning method that
improves the accuracy of data classification by introducing sparsity. However, its …
improves the accuracy of data classification by introducing sparsity. However, its …
[PDF][PDF] A Systematic Literature Review of Enabling IoT in Healthcare: Motivations, Challenges, and Recommendations. Electronics 2022, 11, 3223
Internet of things (IoT) has revolutionized how we utilize technology over the past decade.
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …
IoT's rapid growth affects several fields, including the healthcare sector. As a result, the …
OGM: Online gaussian graphical models on the fly
Abstract Gaussian Graphical Model is widely used to understand the dependencies
between variables from high-dimensional data and can enable a wide range of applications …
between variables from high-dimensional data and can enable a wide range of applications …