A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

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 ...