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Yale Chang

Showing results (1-10 of 10) with videos related to

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Critical Care (London, England)|November 15, 2021
Early prediction of hemodynamic interventions in the intensive care unit using machine learningAsif Rahman, Yale Chang, Junzi Dong, et al.
Frontiers in Cardiovascular Medicine|August 1, 2022
Early Prediction of Cardiogenic Shock Using Machine LearningYale Chang, Corneliu Antonescu, Shreyas Ravindranath, et al.
Psychological Bulletin|February 2, 2018
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categoriesErika H Siegel, Molly K Sands, Wim Van den Noortgate, et al.
Applied Optics|July 14, 2016
Lidar measurements of solid rocket propellant fire particle plumesDavid M Brown, Andrea M Brown, Adam H Willitsford, et al.
Genomics|January 17, 2016
COPD subtypes identified by network-based clustering of blood gene expressionYale Chang, Kimberly Glass, Yang-Yu Liu, et al.
IEEE Transactions on Medical Imaging|January 7, 2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema PhenotypesJames C Ross, Peter J Castaldi, Michael H Cho, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|June 1, 2022
Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® StudyAdel Boueiz, Zhonghui Xu, Yale Chang, et al.
Chest|September 26, 2017
Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease ProgressionAdel Boueiz, Yale Chang, Michael H Cho, et al.
Respiratory Medicine|August 27, 2014
Phenotypic and genetic heterogeneity among subjects with mild airflow obstruction in COPDGeneJin Hwa Lee, Michael H Cho, Merry-Lynn N McDonald, et al.
Thorax|February 25, 2014
Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysemaPeter J Castaldi, Jennifer Dy, James Ross, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Critical Care (London, England)|November 15, 2021
Early prediction of hemodynamic interventions in the intensive care unit using machine learningAsif Rahman, Yale Chang, Junzi Dong, et al.
Frontiers in Cardiovascular Medicine|August 1, 2022
Early Prediction of Cardiogenic Shock Using Machine LearningYale Chang, Corneliu Antonescu, Shreyas Ravindranath, et al.
Psychological Bulletin|February 2, 2018
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categoriesErika H Siegel, Molly K Sands, Wim Van den Noortgate, et al.
Applied Optics|July 14, 2016
Lidar measurements of solid rocket propellant fire particle plumesDavid M Brown, Andrea M Brown, Adam H Willitsford, et al.
Genomics|January 17, 2016
COPD subtypes identified by network-based clustering of blood gene expressionYale Chang, Kimberly Glass, Yang-Yu Liu, et al.
IEEE Transactions on Medical Imaging|January 7, 2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema PhenotypesJames C Ross, Peter J Castaldi, Michael H Cho, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|June 1, 2022
Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® StudyAdel Boueiz, Zhonghui Xu, Yale Chang, et al.
Chest|September 26, 2017
Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease ProgressionAdel Boueiz, Yale Chang, Michael H Cho, et al.
Respiratory Medicine|August 27, 2014
Phenotypic and genetic heterogeneity among subjects with mild airflow obstruction in COPDGeneJin Hwa Lee, Michael H Cho, Merry-Lynn N McDonald, et al.
Thorax|February 25, 2014
Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysemaPeter J Castaldi, Jennifer Dy, James Ross, et al.
Pageof 1