Developing a mobile support decision application for treatment selection of coronary patients

Abstract

Atherosclerosis is a serious heart problem that in turn leads to narrowing of the coronary arteries, and deaths due to atherosclerosis exceeded 18 million people in 2020.

Atherosclerosis is treated with surgery or by planting cardiac stents, and the choice between the two treatments is very precise and requires great experience in addition to knowledge of the application of the European Society of Cardiology standard.

The aim  of the research  is to develop a mechanism to support the decision of the newly specialized doctor to choose the most appropriate treatment for the patient in an easy, simple and applicable digital way within the cardiac catheterization laboratory.

During this research, 400 cardiac patients were studied by performing a cardiac catheterization and imaging their coronary arteries. This analysis was carried out using the Syntax Score platform, which was found to match with a high rate of more than 95%.

The multiple standard deviation was used by the SPSS statistical platform, which reflects the impact of each parameter on the choice of treatment method, which is the method in which the database was weighted for use in the mobile application. In the end, the MIT platform and the APT system were used to build an Android system without codes that reflects the studied parameters and Provides a rate for each patient, which determines the most appropriate method of treatment.

At the end of the research, the application was tested on 30 cardiac patients directly in separate hospitals, and the results were largely identical, 28 patients were completely identical, while the other two patients were neutral. It is related to the difficulty of the patient's arterial map, which cannot be measured directly.