On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets
For preventing health complications and reducing the strain on healthcare systems, early identification of diseases is imperative. In this context, artificial intelligence has become increasingly prominent in the field of medicine, offering essential support for disease diagnosis. This article intro...
Saved in:
Main Authors: | Rafael F. Pinheiro, Rui Fonseca-Pinto |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2025-01-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2474.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Percentage Predicted Peak Oxygen Consumption in People With Fontan Circulation: A Rapid Systematic Scoping Review and Validation Study
by: Curtis A. Wadey, et al.
Published: (2024-09-01) -
Improvements in Cardiopulmonary Exercise Test Results in Atrial Fibrillation Patients After Radiofrequency Ablation in Kazakhstan
by: Akmaral Beisenbayeva, et al.
Published: (2024-10-01) -
The metabolic and physiologic impairments underlying long COVID associated exercise intolerance
by: Brooks P. Leitner, et al.
Published: (2024-10-01) -
Cardiopulmonary exercise testing following acute pulmonary embolism: Systematic review and pooled analysis of global studies
by: Gabriella VanAken, et al.
Published: (2024-10-01) -
The Usefulness of Soluble ST2 Concentration in Heart Failure with Reduced Ejection Fraction to Predict Severe Impairment in Exercise Capacity Assessed in Cardiopulmonary Exercise Testing
by: Magdalena Dudek, et al.
Published: (2024-12-01)