Melillo et al. (2013) employed the machine learning method (Classification and Regression Trees (CART) to predict cardiac disease. Numerous studies have been carried out, and various machine learning ...

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Dave Beck, the 2025 ESL Heart of Service Award winner, left the business world to help thousands of children. The program reaches over 11,000 Pre-K through 6th-grade students in the 2024/25 school ...

Elly De La Cruz chose to play today after recently learning about the death of his sister. He then hit this home run and pointed to the sky and made a heart gesture. 🫶 pic.twitter.com ...

This breakthrough system will transform the detection and prediction of coronary artery disease (CAD) through advanced machine learning technology.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...

ABSTRACT: Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to ...

The goal of the heart disease prediction project is to use machine learning and deep learning techniques to create an accurate and efficient system. To obtain insights into the dataset, the project ...