A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...
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