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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
