A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...
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 ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Abstract: Diabetes is a chronic condition that affects how the body processes blood sugar, leading to consistently high blood glucose levels. Predicting diabetes early can go a long way in reducing ...
Abstract: Until serious complications arise, diabetes is often overlooked as one of the most pressing health issues today. By examining a vast collection of clinical records, we explore how machine ...