Website of D. Serikbayev EKTU
  • Font Size
    16px
    Website Colors
    Images

SCIENTIFIC AND THEORETICAL QUESTIONS OF CLINICAL DECISION SUPPORT TECHNOLOGY BASED ON DIFFERENTIAL DIAGNOSIS OF CLINICAL AND HEMATOLOGICAL SYNDROMES

Authors

Name Affiliation
Индира Увалиева ВКТУ им. Д. Серикбаева

Published:

2023-09-30

Article language:

English

Views:

60

Keywords:

clinical decision support technology, differential diagnosis, clinical and hematological syndromes, scientific and theoretical base, medical monitoring, information technology, electronic health passport

Abstract

This study is aimed at developing a software package for diagnosing clinical and hematological syndromes for an electronic passport, which makes it possible to automate the process of clinical decision support based on differential diagnosis algorithms and medical data mining models. The purpose of the study is to develop a software package for an electronic health passport based on the information technology of differential diagnosis and computational-analytical models of the morphological classification of clinical and hematological syndromes. The scientific foundations of the information technology for monitoring clinical and hematological syndromes integrate mathematical models for evaluating, pre-processing and ensemble methods of machine learning of biochemical blood test indicators, as well as methods that improve the efficiency of business processes for remote monitoring of hemoglobin synthesis disorders as a result of iron deficiency developing against the background of various pathological (physiological) conditions and manifested by signs of anemia and sideropenia.

Увалиева, И. (2023). SCIENTIFIC AND THEORETICAL QUESTIONS OF CLINICAL DECISION SUPPORT TECHNOLOGY BASED ON DIFFERENTIAL DIAGNOSIS OF CLINICAL AND HEMATOLOGICAL SYNDROMES. D. Serikbayev EKTU Bulletin, (3). Retrieved from https://journals.ektu.kz/vestnik/article/view/644

Most read articles by the same author(s)

Publication Title Authors Affiliation Language Views Date Cite
1 A Review Of Operator Methods For Solving Differential Equations Солтанбекова Қ., Rakhmetullina Z., Uvaliyeva I.
  • Восточно-Казахстанский технический университет имени Д.Серикбаева
  • D.Serikbayev Oskemen, East Kazakhstan technical university, Oskemen, Kazakhstan
  • D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Republic of Kazakhstan
KZ 198 2023-06-30
2 Применение Технологии Машинного Обучения Для Диагностики Covid-19 На Основе Рентгеновских Снимков Грудной Клетки Увалиева И.
  • ВКТУ им. Д. Серикбаева
RU 106 2023-06-30
3 Машиналық Оқыту Алгоритмдеріне Негізделген Клиникалық-Гематологиялық Синдромдардың Морфологиялық Жіктеме Деректерін Зерттеу Увалиева И.
  • ВКТУ им. Д. Серикбаева
EN 79 2023-12-22
4 Денсаулық Паспорты Бағдарламалық Жүйесінің Есептеу-Аналитикалық Модульдерін Эксперименттік Зерттеу Увалиева И.
  • ВКТУ им. Д. Серикбаева
KZ 71 2025-03-28
5 Machine Learning Models For Analyzing Data From Glucometers And Hematology Analyzers In Medical Diagnostics Tasks Увалиева И.
  • ВКТУ им. Д. Серикбаева
RU 55 2025-10-01