Cargando…
Fractional Dynamics Foster Deep Learning of COPD Stage Prediction
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 authors add...
Autores principales: | Yin, Chenzhong, Udrescu, Mihai, Gupta, Gaurav, Cheng, Mingxi, Lihu, Andrei, Udrescu, Lucretia, Bogdan, Paul, Mannino, David M., Mihaicuta, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131808/ https://www.ncbi.nlm.nih.gov/pubmed/36808826 http://dx.doi.org/10.1002/advs.202203485 |
Ejemplares similares
-
Fractional Dynamics Foster Deep Learning of COPD Stage Prediction (Adv. Sci. 12/2023)
por: Yin, Chenzhong, et al.
Publicado: (2023) -
Network science meets respiratory medicine for OSAS phenotyping and severity prediction
por: Mihaicuta, Stefan, et al.
Publicado: (2017) -
Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
por: Topîrceanu, Alexandru, et al.
Publicado: (2020) -
SAS score: Targeting high-specificity for efficient population-wide monitoring of obstructive sleep apnea
por: Topîrceanu, Alexandru, et al.
Publicado: (2018) -
Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine
por: Mihaicuta, Stefan, et al.
Publicado: (2021)