Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Discover how AI and machine learning are transforming electric utilities—boosting grid reliability, resilience, and ...
A new study published in the Journal of Orthopaedic Research indicates that an artificial intelligence–based model trained on basic blood and lab test data as well as basic demographic data can ...
QSR brands have increasingly turned to mobile apps to engage with their customers. From McDonald's notorious deals exclusive to app users to Starbucks rewards for in-app purchases, fast food companies ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.