2023
DOI: 10.3991/ijoe.v19i15.42653
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Optimizing Machine Learning Algorithms for Heart Disease Classification and Prediction

Abdeljalil El-Ibrahimi,
Oumaima Terrada,
Oussama El Gannour
et al.

Abstract: According to the World Health Organization (WHO), cardiovascular disease is one of the leading causes of death worldwide. Thus, the prevention of this kind of illness is considered as a huge human health challenge. Additionally, the diagnostic process often involves a combination of clinical examination, laboratory tests, and other diagnostic procedures, which can be complex and time-consuming. However, advances in medical technology and research have led to improved methods for diagnosing heart disease, which… Show more

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Cited by 5 publications
(3 citation statements)
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“…Machine learning is a branch of the AI system that predicts task output values from given input data [12]. An ML system engages in the type of experiential learning associated with human intelligence while also being able to learn and improve its analyses using computational algorithms [12][13][14][15][16]. ML can be applied in ergonomics, which focuses on improving human comfort, safety, and performance.…”
Section: Machine Learningmentioning
confidence: 99%
“…Machine learning is a branch of the AI system that predicts task output values from given input data [12]. An ML system engages in the type of experiential learning associated with human intelligence while also being able to learn and improve its analyses using computational algorithms [12][13][14][15][16]. ML can be applied in ergonomics, which focuses on improving human comfort, safety, and performance.…”
Section: Machine Learningmentioning
confidence: 99%
“…The ML algorithm's performance is compared after implementation. A diagnostic assistance system for analyzing the main cardiovascular risk factors, such as age, gender, and high blood pressure, was suggested in [14]. It was built on optimal machine learning algorithms, including ANN, SVC, KNN, Naïve Bayes, and decision tree.…”
Section: Introductionmentioning
confidence: 99%
“…The term ecosystem appears in the literature mainly in connection to the case of business and is usually related to some new technology, such as AI [10] or blockchain [11], related to some application area. It is also not uncommon at all to study disease categories with respect to the deployment of some technologies, such as the application of machine learning for cardiovascular diseases [12], [13], or the use of advanced technologies such as augmented reality for mental-healthcare interventions [14].…”
Section: Introductionmentioning
confidence: 99%