Visual analysis of cardiac arrest prediction using Machine learning algorithms: A health education awareness initiative
A visual analysis may accurately predict cardiac arrest, making it a potent educational tool
for raising public awareness of health issues. By predicting cardiac arrest earlier …
for raising public awareness of health issues. By predicting cardiac arrest earlier …
Enhancing prognosis accuracy for ischemic cardiovascular disease using K nearest neighbor algorithm: a robust approach
G Muhammad, S Naveed, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Ischemic Cardiovascular diseases are one of the deadliest diseases in the world. However,
the mortality rate can be significantly reduced if we can detect the disease precisely and …
the mortality rate can be significantly reduced if we can detect the disease precisely and …
[HTML][HTML] A disentangled VAE-BILSTM model for heart rate anomaly detection
Cardiovascular diseases (CVDs) remain a leading cause of death globally. According to the
American Heart Association, approximately 19.1 million deaths were attributed to CVDs in …
American Heart Association, approximately 19.1 million deaths were attributed to CVDs in …
Heart failure disease prediction and stratification with temporal electronic health records data using patient representation
Accurate early prediction of heart failure and identification of heart failure sub-phenotypes
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …
[HTML][HTML] Leveraging responsible, explainable, and local artificial intelligence solutions for clinical public health in the global south
In the present paper, we will explore how artificial intelligence (AI) and big data analytics
(BDA) can help address clinical public and global health needs in the Global South …
(BDA) can help address clinical public and global health needs in the Global South …
[HTML][HTML] Social determinants of health data improve the prediction of cardiac outcomes in females with breast cancer
Simple Summary This research aimed to investigate if adding social determinants of health
(SDOH) to predictive models improves major adverse cardiovascular events (MACE) …
(SDOH) to predictive models improves major adverse cardiovascular events (MACE) …
Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection
Cardiovascular disease (CVD) is a prevalent and serious condition causing a significant
global mortality rate. According to the World Health Organization (WHO), in 2022, CVD …
global mortality rate. According to the World Health Organization (WHO), in 2022, CVD …
Cardiovascular disease prediction using machine learning and deep learning
TSE Reddy, SR Sripathi, D Akula… - 2022 6th …, 2022 - ieeexplore.ieee.org
One of the leading causes of death is CVD (Cardiovascular disease) which is communally
referred to as heart disease. CVD is the summation of disorders that affect the heart's ability …
referred to as heart disease. CVD is the summation of disorders that affect the heart's ability …
[PDF][PDF] Implementing Machine Learning to predict the 10-year risk of Cardiovascular Disease
Cardiovascular disease (CVD) is the leading cause of death globally, demanding accurate
risk prediction models for early intervention and prevention. This project aimed to develop a …
risk prediction models for early intervention and prevention. This project aimed to develop a …
Deep learning based cardiovascular disease risk factor prediction among type 2 diabetes mellitus patients
C Selvarathi, S Varadhaganapathy - Information Technology and Control, 2023 - itc.ktu.lt
Abstract Type 2 Diabetes Mellitus (T2DM) is a common chronic disease that is caused due
to insulin discharge disorder. Due to the complication of T2DM, the outcomes of this disease …
to insulin discharge disorder. Due to the complication of T2DM, the outcomes of this disease …