Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 6 (2021): Issue 2 (July 2021)
Open Access
Informationisation construction of pharmacology continuing education – a case study on big data analysis of the aetiology of rheumatoid arthritis
Qun Chen
Qun Chen
,
Jie Wang
Jie Wang
and
Faris Kateb
Faris Kateb
| Oct 18, 2021
Applied Mathematics and Nonlinear Sciences
Volume 6 (2021): Issue 2 (July 2021)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Oct 18, 2021
Page range:
209 - 214
Received:
May 06, 2021
Accepted:
Jul 22, 2021
DOI:
https://doi.org/10.2478/amns.2021.2.00032
Keywords
continuing education
,
ICT
,
rheumatoid arthritis
,
big data analysis
,
pathogenesis
© 2021 Qun Chen et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Big data analysis of age structure of patients with RA. RA, rheumatoid arthritis.
Common detection indexes of rheumatoid arthritis.
Indicators
RF
ASO test
ESR
C-CRP
CCP antibodies
Reference value
Negative
<500 U
0–15 mm/h
<8 mg/L
<5 RU/m