Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients

Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients

Abstract Background Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung disease that affects airflow to the lungs. Discovering the co-occurrence of COPD with other diseases, symptoms, and medications is invaluable to medical staff. Building co-occurrence indexes and finding causal relatio...

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Bibliographic Details
Main Authors: Christopher Baechle, Ankur Agarwal, Xingquan Zhu
Format: Article
Language:English
Published: SpringerOpen 2017-04-01
Series:Journal of Big Data
Subjects:
Big data
Decision support system
Data mining
Health informatics
Online Access:http://link.springer.com/article/10.1186/s40537-017-0067-6

Internet

http://link.springer.com/article/10.1186/s40537-017-0067-6

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