A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics

Are non‐invasive fibrosis markers for chronic hepatitis B reliable in sub‐Saharan Africa?

Abstract Background In the absence of liver biopsy, the World Health Organization recommends non‐

<b>Dataset for a Machine-Learning-Based Predictive Model for Estimating e-Procurement Implementation Intensity in Construction Organizations</b>

This dataset supports the study “A Machine-Learning-Based Predictive Model for Estimating e-Procurem

HYBRID PREDICTIVE MODEL FOR STUDENTS’ ACADEMIC PERFORMANCE BASED ON MACHINE LEARNING APPROACH

Student academic performance is a critical factor in assessing the quality of education and institut

Systematic review and individual-patient-data meta-analysis of non-invasive fibrosis markers for chronic hepatitis B in Africa.

In sub-Saharan Africa, simple biomarkers of liver fibrosis are needed to scale-up hepatitis B treatm

Machine learning methodologies to predict chronic hepatitis B disease progression in Africa

Diagnostic performance of non-invasive fibrosis markers for chronic hepatitis B in sub-Saharan Africa: a Bayesian individual patient data meta-analysis

ABSTRACT Objective In sub-Saharan Africa,