Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas
@article{Uwaoma2021BuildingAD, title={Building a Decision Support System for Automated Mobile Asthma Monitoring in Remote Areas}, author={Chinazunwa Uwaoma and Gunjan Mansingh}, journal={ArXiv}, year={2021}, volume={abs/2112.11195} }
Advances in mobile computing have paved the way for the development of several health applications using Smartphone as a platform for data acquisition, analysis and presentation. Such areas where m-health systems have been extensively deployed include monitoring of long-term health conditions like Cardio-Vascular Diseases and pulmonary disorders, as well as detection of changes from baseline measurements of such conditions. Asthma is one of the respiratory conditions with growing concern across…
One Citation
Multidimensional analysis using sensor arrays with deep learning for high-precision and high-accuracy diagnosis
- Computer ScienceArXiv
- 2022
By feeding a deep neural network (DNN) with the data from a low-cost and low-accuracy sensor array, it is demonstrated that it becomes possible to significantly improve the measurements’ precision and accuracy.
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