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 ...
BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
10don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
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 ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
With the expansion of big data, machine learning, and AI, statistics has become backbone of credible research Dr Rizwan Yousuf India will celebrate National Science Day on February 28, 2026, marking ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results