THE ROLE OF BIG DATA ANALYSIS IN REDUCING THE RISK OF CARDIAC SURGERY

Tokhirova, Farida Olimjonovna and Tolibova, Hamrobonu Asqar qizi (2025) THE ROLE OF BIG DATA ANALYSIS IN REDUCING THE RISK OF CARDIAC SURGERY. European Journal of Modern Medicine and Practice, 5 (1). pp. 5-8. ISSN 2795-921X

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Abstract

Nowadays, cardiac surgery is recognized as a complex and high-risk procedure in the medical field. In order to increase the accuracy and efficiency of these procedures, Big Data analysis is gaining importance. This article analyzes the application of big data technologies in cardiac surgery, their potential for reducing surgical risks, and the development of individual treatment approaches using these technologies.The article discusses methods for predicting risk factors based on patient historical data, surgical outcomes, and clinical indicators using big data. It also analyzes ways to use Big Data technologies to plan operations, improve diagnostic accuracy, and reduce postoperative complications. The advantages of using advanced technologies such as artificial intelligence, machine learning, and statistical modeling to process big data are highlighted.The results of this study provide new approaches to improve safety in cardiac surgery and improve the quality of life of patients. In addition, they reveal innovative opportunities that help improve the efficiency of the healthcare system and optimize resource allocation through big data analysis.

Item Type:	Article
Subjects:	R Medicine > RC Internal medicine
Divisions:	Postgraduate > Master's of Management
Depositing User:	Journal Editor
Date Deposited:	19 Feb 2025 10:06
Last Modified:	19 Feb 2025 10:06
URI:	http://eprints.umsida.ac.id/id/eprint/15491

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