A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...
Excess phosphorus in lakes and reservoirs fuels harmful algal blooms, threatens drinking water safety, and damages aquatic ecosystems worldwide. Now ...
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