Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Philstar.com on MSN
Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
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