Using machine learning to predict mortality in older patients with cancer: Decision tree and random forest analyses from the ELCAPA and ONCODAGE prospective cohorts. Authors: Etienne Audureau, ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

A collaborative team of researchers led by Ben Weinstein of the University of Florida, Oregon, US, used machine learning to generate highly detailed maps of over 100 million individual trees from ...

Aside from the obvious efficiency benefits that AI and machine learning present, there are a number of other advantages to be realized. Data-driven decision making offers the ability to validate a ...