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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Alibekkyzy Karlygash
D. Serikbayev East Kazakhstan Technical University

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Formalization of risk management in the context of digital business transformation Koshekov Kairat; Alibekkyzy Karlygash; Toiganbayev Beglan; Belginova Saule; Keribayeva Talshyn; Tulaev Viktor; Koshekov Abai
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i3.pp1428-1439

Abstract

The aim of the article is to develop a formal methodology for quantitative assessment of the quality of аcontrol in a closed system with feedback in the context of digital transformation. In the proposed study, attention is focused on assessing the quality of management in organizational and technical systems on the example of the aviation industry. The following hypotheses were adopted in the study: in the digital management of business processes of an economic entity, the role of intellectual support is acquired by methods of formal description of processes: control, decision-making and corrective action on the control object. In critical situations, the psychotype of the person making the decision acquires a decisive role. The study solves two scientific and practical problems: development of a formal method for quantitative assessment of the quality of management of a complex multi-criteria organizational and technical system under the conditions of statistical uncertainty of management agents, taking into account feedback in the management of an object; formalization of the process of quantitative assessment of decision-making risks in the environment of statistical uncertainty of control agents and psychological factors of the decision maker.
Research and implementation of the medical text analysis algorithm for predicting mortality Zhenisgul Rakhmetullina; Saule Belginova; Alibekkyzy Karlygash; Aigerim Ismukhamedova; Shynar Tezekpaeva
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i3.pp1965-1977

Abstract

Mortality prediction has a role to play in the development of a descriptive measure of the quality of care that provides a fair and equitable means of comparing and evaluating hospitals. This article describes a study of a medical text analysis algorithm for mortality prediction that used big data in the form of unstructured medical notes. The article describes the concept of using text mining technology for medical systems, a method for preprocessing medical data to predict patient mortality, an algorithm for predicting patient deaths based on the logistic regression classifier and presents a software module for implementing the proposed algorithm.
Co-Authors Aigerim Ismukhamedova Belginova Saule Keribayeva Talshyn Koshekov Abai Koshekov Kairat Saule Belginova Shynar Tezekpaeva Toiganbayev Beglan Tulaev Viktor Zhenisgul Rakhmetullina