A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...
Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...
Aims This study aimed to explore ocular and systemic factors associated with pathologic myopia in patients with high myopia ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
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