Physically Meaningful Surrogate Data for COPD
The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. Deep learning techniques are “data hungry” whilst patient...
Saved in:
Main Authors: | Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Engineering in Medicine and Biology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10417113/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Outcomes of the toxic hepatites caused by alcohol surrogates
by: I. Yu. Pirogova, et al.
Published: (2013-12-01) -
Analysis of Melanin Concentration on Reflective Pulse Oximetry Using Monte Carlo Simulations
by: Maximilian Reiser, et al.
Published: (2025-01-01) -
SURROGATE MOTHERHOOD AS AN OBJECT OF STATISTICAL RESEARCH
by: L. A. Davletshina, et al.
Published: (2020-09-01) -
AUTOMATED PHOTOPLETHYSMOGRAPH
by: V. A. Alekseev, et al.
Published: (2015-03-01) -
An efficient method for predicting the morphology of proppant packs based on a surrogate model
by: Tao ZHANG, et al.
Published: (2025-03-01)