Explorative data analysis techniques and unsupervised clustering methods to support clinical assessment of Chronic Obstructive Pulmonary Disease (COPD) phenotypes.

Abstract excerpt

Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death worldwide and represents one of the major causes of chronic morbidity. Cigarette smoking is the most important risk factor for COPD. In these patients, the airflow limitation is caused by a mixture of small airways disease and parenchyma destruction, the relative contribution of which varies from person to person. The twofold nature...

Topics

• Algorithms
• Artificial Intelligence
• Cluster Analysis
• Computational Biology
• Databases, Factual
• Humans
• Medical Informatics
• Phenotype
• Principal Component Analysis
• Pulmonary Disease, Chronic Obstructive