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

• Autores: Qun Chen, Jie Wang, Faris Kateb, Radwan Kharabsheh
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 6, Nº. 2, 2021, págs. 209-214
• Idioma: inglés
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• Resumen

  • 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.