Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
[HTML][HTML] Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC Jing… - BMC medicine, 2024 - Springer
Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
Cardiovascular disease is difficult to detect due to several risk factors, including high blood
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …
[HTML][HTML] A heart disease prediction model based on feature optimization and smote-Xgboost algorithm
J Yang, J Guan - Information, 2022 - mdpi.com
In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
[HTML][HTML] Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is
the leading cause of human death. Since it is difficult for physicians to screen thousands of …
the leading cause of human death. Since it is difficult for physicians to screen thousands of …
[HTML][HTML] Trends and challenges of wearable multimodal technologies for stroke risk prediction
We review in this paper the wearable-based technologies intended for real-time monitoring
of stroke-related physiological parameters. These measurements are undertaken to prevent …
of stroke-related physiological parameters. These measurements are undertaken to prevent …
DASMcC: Data Augmented SMOTE Multi-class Classifier for prediction of Cardiovascular Diseases using time series features
N Sinha, MAG Kumar, AM Joshi… - IEEE Access, 2023 - ieeexplore.ieee.org
One of the leading causes of mortality worldwide is cardiovascular disease (CVD).
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart's …
A metaheuristic-enabled training system for ensemble classification technique for heart disease prediction
Various conditions that affect the muscles, blood arteries, heart, valves, or internal electrical
pathways that regulate muscle contraction are referred to as" heart diseases." This work …
pathways that regulate muscle contraction are referred to as" heart diseases." This work …
[HTML][HTML] Many Models, Little Adoption—What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
(1) Background: Atrial fibrillation (AF) is a major risk factor for stroke and is often
underdiagnosed, despite being present in 13–26% of ischemic stroke patients. Recently, a …
underdiagnosed, despite being present in 13–26% of ischemic stroke patients. Recently, a …
An extensive approach towards heart stroke prediction using machine learning with ensemble classifier
D Paikaray, AK Mehta - Proceedings of the International Conference on …, 2022 - Springer
Heart stroke remains one of the eminent diseases which has a great impact on the mortality
rate. Besides the other diseases which may be diagnosed and treated, heart stroke is mostly …
rate. Besides the other diseases which may be diagnosed and treated, heart stroke is mostly …