Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile

In modern society, the health of students is one of the priorities, which is receiving more and more attention. Deviations or any negative changes in health status can negatively affect their academic performance, as well as their quality of life. Therefore, the development of an information and analytical system for monitoring the health of students is a hot topic not only in Kazakhstan. The article presents research as a component for solving this problem. Today, society is paying more and more attention to caring for the health of students, realizing that their well-being is directly reflected in academic and personal indicators. This article describes an approach to creating an information and analytical system based on machine learning and data analysis methods to assess and identify key factors affecting the quality of life of students.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/is61756.2024.10705244
Citations
1
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
0.35
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article

Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile

Magzhan Sarsembayev, Anar Ibrayeva, Мадина Мансурова, Talshyn Sarsembayeva
1 citations
Educational Technology and Pedagogy
0.35
article

Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile

Magzhan Sarsembayev, Anar Ibrayeva, Мадина Мансурова, Talshyn Sarsembayeva
article en
1 citations

Abstract

In modern society, the health of students is one of the priorities, which is receiving more and more attention. Deviations or any negative changes in health status can negatively affect their academic performance, as well as their quality of life. Therefore, the development of an information and analytical system for monitoring the health of students is a hot topic not only in Kazakhstan. The article presents research as a component for solving this problem. Today, society is paying more and more attention to caring for the health of students, realizing that their well-being is directly reflected in academic and personal indicators. This article describes an approach to creating an information and analytical system based on machine learning and data analysis methods to assess and identify key factors affecting the quality of life of students.

Al-Farabi Kazakh National University (KZ), Kazakh Institute of Oncology and Radiology (KZ)
Openalex Percentile: Top 33%
Educational Technology and Pedagogy
0.35
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Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile — Magzhan Sarsembayev, Anar Ibrayeva, et al. · (2024) | TGRS Research Map | TGRS