Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

October 18, 2021


Pages


DOI

Article

Informationisation construction of pharmacology continuing education – a case study on big data analysis of the aetiology of rheumatoid arthritis

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Authors

Qun Chen Affiliation:
College of Pharmacy of Bozhou Vocational and Technical College, Bozhou 236800, China
, Jie Wang Affiliation:
College of Pharmacy of Bozhou Vocational and Technical College, Bozhou 236800, China
, Faris Kateb Affiliation:
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Radwan Kharabsheh Affiliation:
Applied Sciences University, Al Hidd, Bahrain


Abstract

The goal of promoting Information and Communication Technology of continuing education in colleges and universities is to standardise the process of teaching and scientific research, make the process more scientific and refined, so as to facilitate and improve the quality of teaching and scientific research, as well as professional disciplines. Rheumatoid arthritis is a disease with chronic, symmetrical and non-specific inflammation of the synovium of the joints (subcutaneous nodules, pericarditis, pleurisy, pneumonia, peripheral neuritis etc.) as the main clinical manifestations. The analysis of pharmacological big data information helps to understand its aetiology and pathological mechanism, which is complex and involves various pathogenic factors.


Keywords

continuing education, ICT, rheumatoid arthritis, big data analysis, pathogenesis


Citation

Chen, Q., Wang, J., Kateb, F., & Kharabsheh, R. (2021). Informationisation construction of pharmacology continuing education – a case study on big data analysis of the aetiology of rheumatoid arthritis. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00032

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