McClusky said TIGA is using geologic data, along with past performance data, in machine learning classification applications (such as k-nearest neighbor, logistics regression, and random forests ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and ...

In materials science, substances are often classified based on defining factors such as their elemental composition or ...

Random Forest uses machine learning and statistical algorithms to find and analyze private lending investment opportunities, primarily from non-bank, technology-focused, web-based loan originators ...

Babies born with low birth weight (less than 2.5 kg) are 20 times more likely to die. They are also more likely to develop neurological and cardiovascular diseases, diabetes, and growth problems later ...