Data of physical characteristics of patients with COPD
Dataset Description
What is COPD?
Chronic obstructive pulmonary disease, commonly referred to as COPD, is a group of progressive lung diseases. The most common of these diseases are emphysema and chronic bronchitis. Many people with COPD have both of these conditions. Emphysema slowly destroys air sacs in your lungs, which interferes with outward airflow. Bronchitis causes inflammation and narrowing of the bronchial tubes, which allows mucus to build up.
It’s estimated that about 30 million people in the United States have COPD. As many as half are unaware that they have it. Untreated, COPD can lead to a faster progression of diseases, heart problems, and worsening respiratory infections.
About the data
The dataset is a cohort of patients, who had been invited to take part in a rehabilitation program to help manage their COPD.
Content
It includes 101 patients and 24 variables. There's information on their characteristics, disease severity, and co-morbidities. It's also got measures of their walking ability, quality of life, and anxiety and depression. Following are the list of variables and the categories they belong to.
Acknowledgements
This data has been sourced from the UCL Datasets Library and has been discussed here briefly.
Inspiration
With this data, I hope that data scientists will be able to mine insights which will be useful for the world.
Related Datasets
-
COPD (Asthma) Patient Dataset
@kaggle
-
Dhds Dataset
@cdc
-
Dhds Dataset
@cdc
-
Dhds Dataset
@cdc