[HTML][HTML] Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review

S Rotbei, WH Tseng, B Merino-Barbancho… - Expert Systems with …, 2024 - Elsevier
As diabetes management becomes more complicated, there is an increasing interest in
understanding how to manage diabetes with physical activity. Our study aimed to investigate …

Intention to use mobile text message reminders for medication adherence among hypertensive patients in North West Ethiopia: a cross-sectional study

EM Zewdu, A Demessie, AM Nigatu… - BMC Health Services …, 2024 - Springer
Background Reminders via digital technology offer a novel and efficient means to address
medication forgetfulness, as they are easily accessible and user-friendly for patients. In …

Revolutionizing Glucose Measurement: The Power of Microwave Antennas in Diabetes

FA Tekşen, V Akdoğan, M Karaaslan - Sensing and Imaging, 2024 - Springer
Diabetes is an increasing health problem worldwide and can cause serious complications.
Diabetes is a disease that occurs as a result of a lack or decreased effectiveness of the …

Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments

HA Mohammad - Wasit Journal of Computer and Mathematics …, 2024 - wjcm.uowasit.edu.iq
The Internet of Things (IoT) is no longer limited to single personalities, but rather, it is a
perceptions that has widely increased and spread in some applications or fields. The …

Transforming Diabetes Care: A Review of IoT-Based Mobile Health Systems

F Ashfaq, A Ahad, M Hussain, F Madeira - EAI International Conference on …, 2023 - Springer
Diabetes, a chronic ailment requiring ongoing care and monitoring, has undergone a
healthcare shift thanks to the Internet of Things (IoT). Real-time monitoring, individualized …

[PDF][PDF] Addressing non-communicable diseases in Bangladesh: A perspective on lifestyle changes and public health Strategies

MF Ahmed - Journal of Innovative Health Research, 2024 - researchgate.net
Abstract Non-Communicable Diseases (NCDs) have become a pressing public health
concern in Bangladesh, accounting for approximately 67% of total deaths. The rising …

[PDF][PDF] Comparative Analysis of SMOTE Techniques and Machine Learning Models for Imbalanced Medical Datasets

M KAVITHA - integration - researchgate.net
Addressing imbalances in medical datasets is crucial for enhancing the reliability of
predictive models. This study presents a comparative analysis of various Synthetic Minority …