A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

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

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...