Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

The FDA has cleared an artificial intelligence algorithm that can detect signs of heart failure in seconds using a digital stethoscope during a standard physical exam. The algorithm was developed ...

and heart failure. Symptoms and treatments depend on the type of heart disease someone has. According to the Centers for Disease Control and Prevention (CDC), heart disease is the leading cause of ...

This research intends to pinpoint the most relevant/risk factors of heart disease as well as predict the overall risk using logistic regression. The classification goal is to predict whether the ...

Heart Disease Prediction Using Logistic Regression is a machine learning project focused on predicting the 10-year risk of coronary heart disease (CHD) in patients. Heart disease is a major global ...

In conclusion, the results indicate that logistic regression can serve as a reliable tool for early detection of heart disease, and future work can explore dataset expansion, advanced models, and ...

Logistic Regression and K-Nearest Neighbors (KNN), in predicting heart disease using the available dataset. Heart disease is one of the leading causes of death worldwide, making it essential to ...

Heart failure self ... to patients with heart failure in Southeastern Minnesota. Participants were divided into tertiles by BoT scores. Associations of clinical variables with BoT were examined using ...