Modeling the effects of education wıth artificial neural networks on anxiety level of coronary angiography patients: A randomized controlled trial
Journal Title: Asian Pacific Journal of Health Sciences - Year 2017, Vol 4, Issue 4
Abstract
Background: It is thought that the education to be given before the angiography procedure decreases the patients’ anxiety level and increases effectively their continuation and adaptation to the medical treatment. Objective: To evaluate the effects of education provided to coronary angiography patients on their state-trait anxiety level, the results of the studies obtained experimentally were processed with artificial neural networks (ANN). Design: This study was experimental research. Setting: The study was carried out at Angiography Unit, Heart Hospital of Erciyes University. Participants: Hundred patients were included in the study; 50 experimental and 50 control group. Intervention: It was trained that experimental groups’ all the patients by researcher. Measurements: The data of the research were collected with a questionnaire form and state-trait anxiety inventory form. In addition to statistical analysis, a modeling system from obtained statistical results is implemented using ANN. Results: The average state-trait anxiety scores before the angiography procedure decreased after the angiography procedure for the experimental group, whereas those anxiety scores of the control group before the angiography procedure increased after the procedure. Furthermore, the estimation of results is performed very successful in the ratio of 99% by ANN system. Conclusion: It was seen that the education provided before the angiography procedure was effective on the state-trait anxiety levels after the angiography. This study presented that artificial intelligence algorithms based on an ANN could be used in systems that analyzed social and health problems.
Authors and Affiliations
Özlem Ceyhan
Keywords
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- EP ID EP525460
- DOI 10.21276/apjhs.2017.4.4.17
- Views 160
- Downloads 0
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