[PDF][PDF] A hybrid approach to medical decision-making: diagnosis of heart disease with machine-learning model

T Suresh, TA Assegie, S Rajkumar, NK Kumar - Int J Elec Comp Eng, 2022 - academia.edu
Heart disease is one of the most widely spreading and deadliest diseases across the world.
In this study, we have proposed hybrid model for heart disease prediction by employing …

Heart disease prediction using logistic regression and random forest classifier

PK Misra, N Kumar, A Misra… - Data-Centric AI Solutions …, 2023 - taylorfrancis.com
Day by day, the cases of heart diseases are increasing at a rapid rate and it's very Important
and concerning to predict any such diseases beforehand. This diagnosis is a difficult task ie …

[PDF][PDF] Improving heart disease prediction using random forest and adaboost algorithms

H El Hamdaoui, S Boujraf, NEH Chaoui, B Alami… - iJOE, 2021 - academia.edu
heart disease is a major cause of death worldwide. Thus, diagnosis and prediction of heart
disease remain mandatory. Clinical decision support systems based on machine learning …

Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison

MI Hossain, MH Maruf, MAR Khan, FS Prity… - Iran Journal of Computer …, 2023 - Springer
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …

An empirical study on machine learning algorithms for heart disease prediction

TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …

[PDF][PDF] Heart disease prediction based on external factors: A machine learning approach

MA Tamal, MS Islam, MJ Ahmmed… - International …, 2019 - pdfs.semanticscholar.org
Technology has immensely changed the world over the last decade. As a consequence, the
life of the people is undergoing multiple changes that directly have positive and negative …

Performance evaluation of machine learning techniques (MLT) for heart disease prediction

GA Ansari, SS Bhat, MD Ansari… - … Methods in Medicine, 2023 - Wiley Online Library
The leading cause of death worldwide today is heart disease (HD). The heart is recognised
as the second‐most significant organ behind the brain. A successful outcome of treatment …

[PDF][PDF] Heart disease classification using various heuristic algorithms

A Ullah, SA Khan, T Alam… - International Journal of …, 2022 - researchgate.net
In the health sector, the computer-aided diagnosis (CAD) system is a rapidly growing
technology because medical diagnostic systems make a huge change as compared to the …

Heart disease prediction using modified machine learning algorithm

B Kaur, G Kaur - International Conference on Innovative Computing and …, 2022 - Springer
Heart patient number is escalating day by day, and numerous individuals lost their precious
lives each year due to sudden heart attack in all over the world. Because of this, before time …

[PDF][PDF] Prediction of heart diseases by using supervised machine learning algorithms

SM Muhammed, G Abdul-Majeed… - Wasit Journal for Pure …, 2023 - iasj.net
Heart Disease is a complex and life-threatening ailment that poses a significant mortality risk
around the world, with nearly a third of global deaths attributable to heart-related conditions …