ISSN 0474-8662. Information Extraction and Processing. 2020. Issue 48 (124)
Home Back to issue

Methods of intellectual analysis of processes in medical information systems

Filatov V.O.
Kharkiv National University of Radio Electronics
Yerokhin A.L.
Kharkiv National University of Radio Electronics
Zolotukhin O.V.
Kharkiv National University of Radio Electronics
Kudryavtseva M.S.
Kharkiv National University of Radio Electronics

https://doi.org/10.15407/vidbir2020.48.092

Keywords: data mining, process mining, personal assistant, iOS, framework, medical services, emergency, algorithm.

Cite as: Filatov V.O., Yerokhin A.L., Zolotukhin O.V., Kudryavtseva M.S. Methods of intellectual analysis of processes in medical information systems. Information Extraction and Processing. 2020, 48(124), 92-98. DOI:https://doi.org/10.15407/vidbir2020.48.092


Abstract

Methods of data mining and intelligent analysis of processes are investigated for the develop¬ment of a mobile intelligent application “Emergency Medical Aid”, which effectively solves the problems of information support for medical purposes in a particular emergency situation for the user. With the help of Data Mining methods, a knowledge base for a personal assistant has been developed, which makes it possible to analyze indicators of a person’s condition and draw conclusions regarding the diagnosis in the field of emergency medicine. The knowledge base presented allows us to apply the inference model with the possibility of using fuzzy rules. To improve the efficiency of determining the diagnosis by the system using the Process Mining methods, models of the business process of the medical information system have been created, built on the basis of an artificially generated event log compiled with the involvement of experts in the subject areas of emergency medicine. An intelligent application on the iOS platform that plays the role of a personal assistant for decision support is presented.


References