Improving statistical methods of data processing in medical universities using machine learning
Orynbayeva A. Shyndaliyev N. Aripbayeva A.
2023World Institute for Engineering and Technology Education
World Transactions on Engineering and Technology Education
2023#21Issue 158 - 63 pp.
Recently, machine learning has been the most advanced big data processing model in various fields, including medicine, where it has been applied to medical data analysis, medical diagnostics and medical technology in general. This study was focused on improving the Basics of Biostatistics subject at Astana Medical University in Kazakhstan, and the content thereof was considered in view of practical approaches of using statistical methods with machine learning in the R programming environment. Successful improvement of this subject is necessary for planning, conducting research and data analysis to assess various situations and trends in health care, as well as for conducting scientific research in the field of medical biology, clinical and health care. The methods described in the article are proposed to be used in educational programmes in medical universities, as well as in interdisciplinary courses in other areas
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L.N. Gumilyev Eurasian National University, Astana, Kazakhstan
Astana Medical University, Astana, Kazakhstan
L.N. Gumilyev Eurasian National University
Astana Medical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026