ALGORITHMS FOR INTELLIGENT DIAGNOSIS OF A PATIENT WITH HEART DISEASE: AN OVERVIEW
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 5
Abstract
Heart diseases stand as a leading cause of mortality worldwide, posing a particularly severe challenge in developing regions across Africa and Asia. Detecting heart diseases in their early stages not only empowers patients to take preventive measures but also equips healthcare practitioners to discern and mitigate the primary causes before an actual heart attack occurs. This paper introduces CardioHelp, a method devised to predict the likelihood of cardiovascular disease in patients. This method integrates a deep learning algorithm known as convolutional neural networks (CNN), specifically focused on temporal data modeling for early-stage heart failure prediction.
Authors and Affiliations
Ismailov O. M. , Khojamurotov A. Sh.
Keywords
Related Articles
- EP ID EP736822
- DOI 10.5281/zenodo.11394862
- Views 65
- Downloads 0
EDUCATIONAL SIGNIFICANCE OF TEACHING MATHEMATICS IN GENERAL SECONDARY EDUCATION AND VOCATIONAL SCHOOLS
In this article, through teaching mathematics, students are able to understand their place and act in the way of development of the country. It contains detailed information and recommendations about how the teacher can...
GENERAL BACKGROUND OF SOCIO-PSYCHOLOGICAL IMPACT OF CULTURAL IMMUNITY
This article deals with the issue of overcoming global problems and dangers, the denial of universal value and semantic orientations, and the irrevocability of the past unipolar world order all become crucial in the cont...
ANTILEUKOTRIENE DRUGS IN THE TREATMENT OF ALLERGIC BRONCHITIS: MODERN APPROACH AND CLINICAL EFFECTIVENESS
The article analyzes the results of treatment of 63 children aged 2 to 10 years hospitalized with a diagnosis of allergic bronchitis in the pulmonology department of Tashkent Pediatric Medical Institute in the period fro...
EFFECTS OF COPPER OXIDE AND SULFURIC ACID ON THE PYROLYSIS BEHAVIOR OF AMMONIUM NITRATE UNDER THERMAL RADIATION EXPERIMENTS
Statistics have indicated that industrial accidents of ammonium nitrate were primarily caused by uncontrolled external fires where heating was dominantly controlled by radiation, and yet existing studies at milligram sca...
LINGUISTICS IN FUTURE ENGLISH LANGUAGE TEACHERS DEVELOPMENT OF COMPETENCIES IMPROVING METHODOLOGY
This article discusses methods and measures to improve the methods necessary for the development of language competencies among future English language teachers, mentioning various methods and techniques.