Research and implementation of the medical text analysis algorithm for predicting mortality
Rakhmetullina Z. Belginova S. Karlygash A. Ismukhamedova A. Tezekpaeva S.
June 2024Institute of Advanced Engineering and Science
Indonesian Journal of Electrical Engineering and Computer Science
2024#34Issue 31965 - 1977 pp.
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.
Analysis algorithm , Data mining , Diagnosis , Disease prediction , Logistic regression
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Department of Engineering Mathematics, D. Serikbayev East Kazakhstan Technical University, Ust-Kamenogorsk, Kazakhstan
Department of Information Technology, University Turan, Almaty, Kazakhstan
Digitalization Center, Kazakh-American Free University, Oskemen, Kazakhstan
Department of Engineering Mathematics
Department of Information Technology
Digitalization Center
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