Beyond the test: patient-reported concerns and worries regarding kidney conditions and APOL1 genetic testing among Black patients.
Authors: Elsurer Afsar R, Clair B, Memon AA, Edwards JC, Miyata KN, Afsar B, Schnitzler M, Xiao H, Carriker A, Abu Al Rub F, Hsu CY, Muiru AN, Freedman BI, Philipneri MD, Caliskan Y, Lentine KL, St. Louis APOL1 Study Collaborators
Journal: Frontiers in nephrology
mental health
psychology
open access
Abstract
ST-GNNs integrate multi-source data to improve regional disease prediction accuracy and enable interpretable etiology mining. A unified four-layer framework connects graph construction, data fusion, spatio-temporal modeling, and causal inference for public health.