Competition name: Grant funding competition for young scientists under the project "Zhas Galym" for 2024-2026.
Project Manager: Aigerim Ismuhamedova, postdoctoral Researcher, head of the scientific project, Director of the Center for Digitalization of KAFU.
Identifiers:
- Hirsch Index 5,
- Scopus Author ID: 57191621865 (https://www.scopus.com/authid/detail.uri?authorId=57191621865),
- ORCID: 0000-0002-4931-337X (https://orcid.org/my-orcid?orcid=0000-0002-4931-337X),
- Researche rID: GYQ-7493-2022.
Project Research Team
| № | Full name | Project position | Identifiers (Scopus Author ID, Researcher ID, ORCID, if any) and links to related profiles |
|---|---|---|---|
|
1. |
Aigerim Ismuhamedova |
Scientific supervisor |
Hirsch Index 5, |
|
2. |
Indira Uvaliyeva |
Scientific consultant |
The Hirsch index is 10, |
Project abstract
The project is dedicated to the application of machine learning algorithms in medical decision support systems (DSS) to improve diagnostic processes in the context of healthcare informatization in the Republic of Kazakhstan. The relevance of the topic is determined by the need to introduce innovative technologies into the medical field to improve the quality of medical services, optimize healthcare resources and introduce data-based approaches to personalize treatment. The project is aimed at solving one of the key tasks of healthcare – improving the accuracy and efficiency of medical decision-making, which is especially important in the context of the growing complexity of diseases and the increasing volume of available medical information.
The purpose of the research is to develop a medical decision support system based on modern machine learning algorithms, which will improve the quality of diagnosis, prediction and treatment appointment in medical practice in Kazakhstan. The project also focuses on using the potential of artificial intelligence to identify hidden patterns in data, which will help improve the level of medical care in the country.
Expected and achieved results of the project:
| Year |
The results obtained from the research. |
|---|---|
|
2024 |
1) The author's certificate received within the framework of the project: Ismukhamedova Aigerim, Uvalieva Indira "Algorithm for clinical decision support based on undersampling technology" (completed within the framework of the AP22683316 project), No. 49449 dated September 4, 2024. 2) The article Scopus: Experimental study of a medical data analysis model based on comparative performance of classification algorithms / Ismukhamedova, A., Uvaliyeva, I., Rakhmetullina, Z. // Indonesian Journal of Electrical Engineering and Computer Science, 2024, 36(1), pages 672-684. DOI: 10.11591/ijeecs.v36.i1.pp672-684. 3) Проектирование архитектуры системы принятия медицинских решений и анализа медицинских данных на основе технологии машинного обучения Ismukhamedova A.M., Bakanova A.P. DOI 10.46916/16102024-2-978-5-00215-552-1 Development of modern technologies: theoretical and practical aspects : collection of articles of the V International Scientific and Practical Conference (October 14, 2024). — Petrozavodsk : ICNP "NEW SCIENCE", 2024. 129 p. : ill., tab. ISBN 978-5-00215-552-1. 4) The defense of the doctoral thesis, which took place on December 26, 2024 on the topic of: "Algorithmic support of an intelligent clinical decision support system" according to the educational program 8D06101 – Information systems (by industry) (/research/dissertationcouncil/ismuhamedova.aspx?lang=en. |
| 2025 | |
| 2026 |
