Apr 25, 2024 · This study developed a CHD risk prediction model for PLHIV utilizing ML techniques and EMR data. The LightGBM model exhibited improved ...
Apr 25, 2024 · This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus ...
Apr 28, 2024 · Objective This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency ...
Abstract Objective This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus ...
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning. Authors. Liu, Zengjing; Meng, Zhihao; Wei, Di ...
This research aims to address this gap by developing an Ensemble Machine Learning (ML) model to increase the accuracy of CVD risk prediction.
Missing: coronary heart
People also search for
Types of cardiovascular disease
For informational purposes only. Consult your local medical authority for advice.
The relative risk of cardiovascular disease (CVD) among people living with HIV (PLWH) was 2.16 compared to non-HIV-infections. The prediction of CVD is becoming ...
People also ask
Which machine learning algorithm is best for predicting heart disease?
What is the effective prediction of cardiovascular disease using cluster of machine learning algorithms?
What is the model for predicting heart disease?
What is the risk of coronary heart disease in patients with HIV?
Feb 24, 2023 · A machine-learning-based retinal image analysis could increase the accuracy in assessing the risk of coronary atherosclerosis and obstructive CAD.
Conclusion. This study developed a CHD risk prediction model for PLHIV utilizing ML techniques and EMR data. The LightGBM model exhibited improved comprehensive ...
May 6, 2024 · In this context, some researchers have also endeavored to develop early predictive models for mortality in HIV-infected individuals. A meta- ...