Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
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Intelligent monitoring pipe detects and predicts 3D soil settlement
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
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