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Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records
Rodrigo Vazquez Guillamet
, Oleg Ursu
, Gary Iwamoto
, Pope L. Moseley
, Tudor Oprea
Institute of Clinical and Translational Sciences (ICTS)
Division of Pulmonary & Critical Care Medicine
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Scopus citations
Overview
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Keyphrases
Electronic Medical Records
100%
Cluster Analysis
100%
Chronic Obstructive Pulmonary Disease
100%
Disease Phenotype
100%
Obstructive Pulmonary Disease
100%
Comorbidity
22%
Inclusion Criteria
11%
Clinically Significant
11%
Diabetes
11%
Liver Disease
11%
Kidney
11%
Obesity
11%
Congestive Heart Failure
11%
Coronary Artery
11%
Readmission
11%
Heterogeneous Disease
11%
New Mexico
11%
Charlson Score
11%
Clustering Methods
11%
Exclusion Method
11%
Severity Markers
11%
Pharmacology, Toxicology and Pharmaceutical Science
Chronic Obstructive Lung Disease
100%
Comorbidity
16%
Malignant Neoplasm
8%
Liver Disease
8%
Congestive Heart Failure
8%
Retrospective Study
8%
Diseases
8%