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

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

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.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

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

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

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

Please provide your email address to receive an email when new articles are posted on . The best model for predicting schizophrenia performed substantially better than the best bipolar ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...