How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
IEEE

A Predictive Analytics in Cardiology: Evaluating Machine Learning Algorithms

Abstract: As one of the leading causes of mortality globally today, heart disease demands the development of novel approaches to early detection and prevention. Leveraging it with artificial ...
IEEE

Heart Disease Prediction System using Ensemble Machine Learning Technique

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...
The Lever

The Secret Data Behind Your $20 Sandwich

According to multiple lawsuits, data analytics firm Agri Stats has quietly enabled the nation’s largest meat processors to coordinate price hikes and wage suppression for decades. Registered readers ...
Frontiers

A comparative study of risk factors in predictive models for cognitive dysfunction in patients with leukoaraiosis based on machine learning algorithms

Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...