Open AccessChronic obstructive pulmonary disease research by using big data
Author(s) -
Rhee Chin Kook
Publication year - 2021
Publication title -
the clinical respiratory journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.789
H-Index - 33
eISSN - 1752-699X
pISSN - 1752-6981
DOI - 10.1111/crj.13305
Subject(s) - big data , pulmonary disease , copd , medicine , data science , data source , strengths and weaknesses , research data , data mining , computer science , data curation , philosophy , epistemology
As the information technology develops, large amount of data has been stored. The digitalisation of the health‐care system enables researchers to use big data easily. Big data have been utilised for valuable source for chronic obstructive pulmonary disease (COPD) research. Various sources of data are now available including nationwide claim data and primary care database. Recently, web data are also used in COPD research. Each different data source has strengths and weaknesses. Merging different data can overcome the limitation of big data research. Future direction of big data research is to integrate multiple big data.