Coronary Heart Disease Prediction and Classification using Hybrid Machine Learning Algorithms

KB Sk, D Roja, SS Priya, L Dalavi… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Nowadays, digitalization in the healthcare organizations places great emphasis on
technological advances in clinical healthcare providers. Traditional methods for measuring …

A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms

VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …

Learning-based techniques for heart disease prediction: a survey of models and performance metrics

PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

Application of an end-to-end model with self-attention mechanism in cardiac disease prediction

L Li, X Chen, S Hu - Frontiers in Physiology, 2024 - frontiersin.org
Introduction: Heart disease is a prevalent global health challenge, necessitating early
detection for improved patient outcomes. This study aims to develop an innovative heart …

Cyclone intensity estimation on INSAT 3D IR imagery using deep learning

K Vayadande, T Adsare, T Dharmik… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Tropical cyclones are considered as one of the most common and deadly natural disasters
in the world. The Dvorak technique is traditionally used for calculating cyclone intensity. One …

Automated heart disease prediction using improved explainable learning-based technique

PC Bizimana, Z Zhang, AH Hounye, M Asim… - Neural Computing and …, 2024 - Springer
Heart disease (HD) stands as a major global health challenge, being a predominant cause
of death and demanding intricate and costly detection methods. The widespread impact of …

Anxiety Prediction and Analysis-A Machine Learning Based Approach

SA Farooq, O Konda, A Kunwar… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Anxiety is considered a psychological disorder that causes stress, emotional trauma, and so
forth, which affects a person both mentally and physically. This condition causes a person to …

Optimized convolutional neural network using grasshopper optimization technique for enhanced heart disease prediction

S Polepaka, RP Ram Kumar, D Palakurthy… - Cogent …, 2024 - Taylor & Francis
Abstract According to the World Health Organization (WHO), the heart disease (HD) is a
preeminent worldwide cause of mortality. Early prediction and diagnosis of HDs becomes …

[HTML][HTML] Enhancing heart disease prediction with reinforcement learning and data augmentation

R Gayathri, SKB Sangeetha, SK Mathivanan… - Systems and Soft …, 2024 - Elsevier
The study presents a novel method to improve the prediction accuracy of cardiac disease by
combining data augmentation techniques with reinforcement learning. The complex nature …

A Detailed Analysis of Detecting Heart Diseases Using Artificial Intelligence Methods

K ERDEM, MB YILDIZ, ET YASIN… - Intelligent Methods In …, 2023 - imiens.org
Hearts are crucial for maintaining a healthy lifestyle and are ranked high among the organs
that need special care. Globally, heart disease is one of the leading causes of death, posing …