Both of these practices help to remove unnecessary variables in the training set to help the model perform better. Most importantly, it helps to pick a machine learning model that will work better ...

In this paper, we propose a novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in HNSCC Via an Ensemble Tree-Based Machine Learning Approach (POTOMAC). Our main ...

Use of high-speed video microscopy and artificial intelligence provides calculated statistics like diastolic and systolic diameters, fractional shortening, and ejection fraction. Drosophila — commonly ...

Standard Chartered is launching a machine learning model for near-term Brent price forecasting.

Researchers used machine learning to generate highly detailed maps of over 100 million individual trees from 24 sites across the U.S. These maps provide information about individual tree species ...