The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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 ...

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

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 ...

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 ...