THE USE OF ARTIFICIAL INTELLIGENCE IN THE DETECTION OF MORAL RISK PATTERNS IN REGISTERED MEDICAL HEALTH DATA

Ali A., Alaidany and Zahraa Abbas Hasan, Tayyeh and Marwah M., Mahdi (2024) THE USE OF ARTIFICIAL INTELLIGENCE IN THE DETECTION OF MORAL RISK PATTERNS IN REGISTERED MEDICAL HEALTH DATA. Journal of Engineering, Mechanics and Modern Architecture, 3 (6). pp. 62-71. ISSN 2181-4384

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Abstract

Today, artificial intelligence has permeated all aspects of life. Human health is an important issue that has also received the attention of artificial intelligence. Electronic health records (EHRs) can be used to discover ethical risk patterns in artificial intelligence in EHRs. However, much less has been said about the readiness of EHR data for such data mining projects. The main goal of this article is to use artificial intelligence based on machine learning in the analysis of frequent patterns to detect moral risk patterns. In the proposed method, using the FP-Growth-based method, identification of frequent moral risk patterns has been done. These patterns are used as attributes for the input of categories. The best result for identifying risk patterns has been obtained in classification based on neural network. The evaluations show the superiority of the proposed method in accuracy 97.63, accuracy 99.70, recall rate 99.89, and prediction error 0.06, and the execution time is less than 0.6 seconds, showing the superiority of the proposed method compared to There are other studies.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	13 Feb 2025 06:36
Last Modified:	13 Feb 2025 06:36
URI:	http://eprints.umsida.ac.id/id/eprint/15413

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