Search
Now showing items 11-16 of 16
I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The rapid evolution of remote health monitoring applications is foreseen to be a crucial solution for facing an unpredictable health crisis and improving the quality of life. However, such applications come with many ...
Particle swarm clustering fitness evaluation with computational centroids
(
Elsevier B.V.
, 2017 , Article)
In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ...
Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
(2012 , Conference Paper)
Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs ...
Notice of Retraction: Electromagnetic Radiation Due to Cellular, Wi-Fi and Bluetooth Technologies: How Safe Are We?
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Other)
The electromagnetic radiation (EMR) emitted out of wireless communication modules in various IoT devices (especially used for healthcare applications due to their close proximity to the body) have been identified by ...
Patient Counseling and Education: Models and Methods in Pharmacy Practice
(
Elsevier
, 2019 , Book chapter)
Patient counseling and education in pharmacy practice is essential to develop the role of pharmacist within the healthcare system. As such, pharmacists largely depend on communication with patients to fulfill their mission ...
Estimation of health-related quality of life in the presence of missing Values in EQ-5D
(
Hindawi Limited
, 2021 , Article)
One of the notes worthy problems in analysis of clinical and observational studies is missing data and nonresponse from patients. Turning a blind eye to the missing behavior may provide biased results with overestimated ...