AP 23485656 "Development of an intelligent system based on a neural network for analyzing and making recommendations on the treatment of oncological diseases in the Semipalatinsk region "

2024-2026 36 month SDG #3 SDG #3

Project Leader

Karymsakova Indira Bekenovna, PhD

Relevance

Today, one of the urgent problems in the Semipalatinsk region is the consequences of nuclear tests at the Semipalatinsk nuclear test site. One of the consequences is the high incidence of cancer in the region. In this regard, one of the most important tasks is the early detection of oncological diseases and their prevention. The development of an intelligent system based on a neural network for analyzing and making recommendations on the treatment of oncological diseases in the Semipalatinsk region will allow analyzing laboratory research indicators and issuing recommendations on the treatment of oncological diseases.

Goal

The aim of the project is to develop an intelligent system based on a neural network for analyzing and making recommendations on the treatment of oncological diseases in the Semipalatinsk region.

Expected Result

The scientific foundations of an intelligent system based on a neural network will be created to analyze and make recommendations for the treatment of oncological diseases in the Semipalatinsk region.

Achieved Result

Knowledge models were created using the Hemming method, and knowledge from the subject area was formalized. An article has been published in a peer-reviewed scientific publication indexed in the Science Citation Index Expanded of the Web of Science database and/or having a CiteScore percentile in the Scopus database of at least 50 (fifty):

Karymsakova, I.; Kozhakhmetova, D.; Bekenova, D.; Ostroukh, D.; Bekbayeva, R.; Kydyralina, L.; Bugubayeva, A.; Kurushbayeva, D. Development of an Early Lung Cancer Diagnosis Method Based on a Neural Network. Computers 2025, 14, 397. Journal Rank: JCR - Q2 (Computer Science, Interdisciplinary Applications) Journal Impact Factor -4,2/ CiteScore - Q1 (Computer Science (miscellaneous) - 84%)

https://doi.org/10.3390/computers14090397

Published on September 18, 2025