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 ...
News-Medical.Net

Machine learning model can predict 28-day mortality in sepsis patients

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

Machine learning model predicts liver cancer risk with high accuracy

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 ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Science Daily

New machine learning algorithm promises advances in computing

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 ...
The American Journal of Managed Care

Machine Learning Model Improves Prediction of Heart Failure Risk in CKD

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

Study uses AI to rank 10 factors tied to positive substance use recovery outcomes

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...