Fractional Dynamics Foster Deep Learning of COPD Stage Prediction
Abstract Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death worldwide. Current COPD diagnosis (i.e., spirometry) could be unreliable because the test depends on an adequate effort from the tester and testee. Moreover, the early diagnosis of COPD is challenging. The au...
Main Authors: | Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-04-01
|
Series: | Advanced Science |
Subjects: | |
Online Access: | https://doi.org/10.1002/advs.202203485 |
Similar Items
-
Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
by: Alexandru Topîrceanu, et al.
Published: (2020-12-01) -
Network science meets respiratory medicine for OSAS phenotyping and severity prediction
by: Stefan Mihaicuta, et al.
Published: (2017-05-01) -
Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine
by: Stefan Mihaicuta, et al.
Published: (2021-01-01) -
Pulmonary Hypertension in COPD: A Case Study and Review of the Literature
by: Steven J. Cassady, et al.
Published: (2019-08-01) -
COPD Patients with Asthma Features in Vietnam: Prevalence and Suitability for Personalized Medicine
by: Nguyen Van Tho, et al.
Published: (2023-05-01)