DATA STRUCTURE OF MEDICAL INFORMATION ORGANIZATION AND SELECTING OPTIMAL PATIENT TREATMENT STRATEGIES

Authors

  • Oleksandr Davydko National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»
  • Liliia Levchyk National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»
  • Olexiy Khlimenkov National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»
  • Olga Averianova National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

DOI:

https://doi.org/10.18372/2306-1472.87.15673

Keywords:

data organization, database structure, treatment optimization, treatment strategies, data export

Abstract

Purpose: The purpose of this article is to develop a clinical information storage and medical decision support system for daily use by physicians during their work with patients. Methods: The article considered approaches to achieve the research goal through the creation of a backend on Django Rest Framework, as well as the application of the simplex method to perform treatment optimization. Results: A server-side software product was obtained, where a special database was implemented, which takes into account the requirements for the data structure of the organization of medical information, and a module for selecting optimal treatment strategies for patients was created. Discussion: The conducted research allowed us to obtain a prototype of medical information system, which will be useful due to its versatility in the data structure of the organization of medical data and the use of machine learning methods to optimize treatment strategies.

Author Biographies

Oleksandr Davydko, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Postgraduate Student. Department of Biomedical Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». Education: National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» (2019). Research area: information technologies in medicine, computer science, data science, deep learning.

Liliia Levchyk, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Student.  Department of Biomedical Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». Research area: information technologies in medicine, computer science, data science, deep learning.

Olexiy Khlimenkov, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Student. Department of Biomedical Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». Research area: information technologies in medicine, computer science, data science, deep learning.

Olga Averianova, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

Senior Lecturer. Department of Biomedical Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». Research area: information technologies in medicine, computer science, data science, deep learning, system analysis, information system design, IT management

References

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Published

2021-07-27

How to Cite

Davydko, O., Levchyk, L. ., Khlimenkov, O., & Averianova, O. . (2021). DATA STRUCTURE OF MEDICAL INFORMATION ORGANIZATION AND SELECTING OPTIMAL PATIENT TREATMENT STRATEGIES. Proceedings of the National Aviation University, 87(2), 24–30. https://doi.org/10.18372/2306-1472.87.15673

Issue

Section

INFORMATION TECHNOLOGY