A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals. There’s another marker in the blood that may be a better ...

ctDNA testing post-surgery identifies high-risk stage 3 colon cancer patients more accurately than traditional staging methods. Detectable ctDNA correlates with a four- to six-fold increased risk of ...

An international trial has started to see if a simple finger-prick blood test could predict the risk of Alzheimer's disease, before people start showing signs of cognitive decline. The Bio-Hermes-002 ...

A urine test can detect dengue and its severity using NS1, NGAL, and suPAR proteins, according to NTU's LKCMedicine research published in Open Forum Infectious Diseases. This non-invasive test could ...