A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...

According to information from the National Intellectual Property Administration, Oracle International Company has been granted a patent for "Dynamic Data Selection for Machine Learning Models" ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...