Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Worcester Polytechnic Institute (WPI) researchers have identified a promising tool for early detection of Alzheimer's disease using machine learning and brain scans to predict the disease with nearly ...

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 ...

In a recent study published in Technologies, researchers devised a novel system that uses machine learning to predict tongue disease. Traditional tongue illness diagnosis relies on monitoring tongue ...