Chronic obstructive pulmonary disease research by using big data | Zendy

Rhee Chin Kook | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Chronic 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 , data science , strengths and weaknesses , data source , computer science , research data , disease , medicine , data mining , pathology , psychology , data curation , social psychology

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research