Improvement of a prediction model for heart failure survival through explainable artificial intelligence
PA Moreno-Sanchez - Frontiers in Cardiovascular Medicine, 2023 - frontiersin.org
Cardiovascular diseases and their associated disorder of heart failure (HF) are major
causes of death globally, making it a priority for doctors to detect and predict their onset and …
causes of death globally, making it a priority for doctors to detect and predict their onset and …
Heart disease prediction using concatenated hybrid ensemble classifiers
Heart disease is a leading global cause of mortality, demanding early detection for effective
and timely medical intervention. In this study, we propose a machine learning-based model …
and timely medical intervention. In this study, we propose a machine learning-based model …
Machine-learning-based prediction models of coronary heart disease using naïve bayes and random forest algorithms
Coronary heart disease (CHD), alternatively known as cardiovascular disease (CVD) is the
number one cause of death in the world. Accordingly, a plethora of research have been …
number one cause of death in the world. Accordingly, a plethora of research have been …
A novel feature selection approach with integrated feature sensitivity and feature correlation for improved prediction of heart disease
This paper presents a random forest-feature sensitivity and feature correlation (RF-FSFC)
technique for enhanced heart disease prediction. The proposed methodology is …
technique for enhanced heart disease prediction. The proposed methodology is …
[HTML][HTML] Machine learning-based smart wearable system for cardiac arrest monitoring using hybrid computing
Every year, the percentage of people affected by cardiovascular diseases increases
drastically. Out of them, a heart attack is the most prominent and painful disease. According …
drastically. Out of them, a heart attack is the most prominent and painful disease. According …
An intelligent heart disease prediction system using hybrid deep dense Aquila network
SP Barfungpa, HKD Sarma, L Samantaray - Biomedical signal processing …, 2023 - Elsevier
This paper proposes an intelligent HD prediction system based on a hybrid deep dense
Aquila network for predicting HD at the early stage. The main intension of the proposed …
Aquila network for predicting HD at the early stage. The main intension of the proposed …
Distribution preserving train-test split directed ensemble classifier for heart disease prediction
Every year, the worldwide health record reports enormous cases of deaths due to heart
disease. The advancement in healthcare system has tackled these issues in some extent but …
disease. The advancement in healthcare system has tackled these issues in some extent but …
[HTML][HTML] Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction
ID Mienye, N Jere - Information, 2024 - mdpi.com
Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …
disease. However, to ensure the clinical adoption of ML models, they must not only be …
[HTML][HTML] Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI
Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying
each year. The identification and early diagnosis of CVD are critical in preventing adverse …
each year. The identification and early diagnosis of CVD are critical in preventing adverse …
Mlheartdis: Can machine learning techniques enable to predict heart diseases?
Heart disease is contributing one of the leading reasons of death in the contemporary world.
The three major danger signs for heart disease are smoking, high blood pressure and …
The three major danger signs for heart disease are smoking, high blood pressure and …