Affiliation:
1. VIT Bhopal University, India
Abstract
A visual analysis may accurately predict cardiac arrest, making it a potent educational tool for raising public awareness of health issues. By predicting cardiac arrest earlier, preventative steps can be taken to save lives, and the dissemination of such health knowledge can dramatically lower the world mortality rate. A heart attack, also known as cardiac arrest, encompasses various heart-related disorders and has been the leading cause of death worldwide in recent decades. Several medical data mining and machine learning technologies are being applied to gather helpful knowledge regarding heart disease prediction. The accuracy of the intended outcomes, however, is insufficient. This chapter aims to predict the likelihood of patients having a heart disease to solve the issue. Specifically, it compared alternative models for the identification of cardiac arrest to appropriately categorize and forecast heart attack instances with compact features. The use of ensemble algorithms over classifier algorithms gives a maximum accuracy of 96.5%, which is examined in this investigation.
Reference65 articles.
1. Redefining Health Education in the Post-Pandemic World
2. Trend analysis of cardiovascular disease mortality, incidence, and mortality-to-incidence ratio: results from global burden of disease study 2017
3. Arayata, P. A., Banzon, J., Franco, B. M., Lubrin, D., Perez, M. R., & Garcia, M. B. (2022). Chyilax: An Innovative 3D Game Approach for Mental Breakdown Awareness Campaign. 2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM). IEEE. https://manuelgarcia.info/publication/mental-breakdown-awareness-game
4. Impact of cardiovascular disease and risk factors on fatal outcomes in patients with COVID-19 according to age: a systematic review and meta-analysis
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Leveraging Ethical Standards in Artificial Intelligence Technologies;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17
2. Building a Conversational Chatbot Using Machine Learning;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17
3. Dental Education in the Information Age;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17
4. Kahoot! Gamification as an Instructional Technology;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17
5. Rethinking the Continuous Education and Training of Healthcare Professionals in the Context of Digital Technologies;Handbook of Research on Instructional Technologies in Health Education and Allied Disciplines;2023-03-17