Literature DB >> 33207087

Chronic obstructive pulmonary disease research by using big data.

Chin Kook Rhee1.   

Abstract

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.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  air pollution; big data; chronic obstructive pulmonary disease; claim

Year:  2020        PMID: 33207087     DOI: 10.1111/crj.13305

Source DB:  PubMed          Journal:  Clin Respir J        ISSN: 1752-6981            Impact factor:   2.570


  2 in total

1.  Risk of Tuberculosis Caused by Fluticasone Propionate versus Budesonide in Chronic Obstructive Pulmonary Disease: A Nationwide Population-Based Study.

Authors:  Iseul Yu; Sunmin Park; Se Hwa Hong; Min-Seok Chang; Seok Jeong Lee; Suk Joong Yong; Won-Yeon Lee; Sang-Ha Kim; Ji-Ho Lee
Journal:  J Pers Med       Date:  2022-07-21

2.  Analysis of the Effect of Mindfulness Behavior Intervention Combined with Progressive Breathing Training on Pulmonary Function Rehabilitation in Patients with Chronic Obstructive Pulmonary Disease.

Authors:  Shan Yu; Hui Fan
Journal:  Emerg Med Int       Date:  2022-08-27       Impact factor: 1.621

  2 in total

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