Heidi A Hanson Group Leader, Biostatistics and Multiscale System Modeling Contact hansonha@ornl.gov All Publications Topological Interpretability for Deep Learning Describing patterns of familial cancer risk in subfertile men using population pedigree data Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy... Urban relatives ameliorate survival disparities for genitourinary cancer in rural patients VA EDH Data Curation Documentation FY24-Q2... Evaluating county-level lung cancer incidence from environmental radiation exposure, PM2.5, and other exposures with regressi... Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports... VA EDH Data Curation Documentation FY24-Q1 VA EDH Data Curation Documentation FY23-Q4 FrESCO: Framework for Exploring Scalable Computational Oncology Exploring the Spatial Patterning of Sociodemographic Disparities in Extreme Heat Exposure at Multiple Scales Across the Conterminous United States Dataset Repository for Investigating Suicide Risk Using Social and Environmental Determinants of Health VA EDH Data Curation Documentation FY23-Q3 Environmental exposure to industrial air pollution is associated with decreased male fertility Risk Factors and Trends for HPV-Associated Subsequent Malignant Neoplasms among Adolescent and Young Adult Cancer Survivors VA EDH Data Curation Documentation FY23-Q2 VA EDH Data Curation Documentation FY23-Q1 Patterns of indoor radon concentrations, radon-hazard potential, and radon testing on a small geographic scale in Utah VA EDH Data Curation Documentation FY22-Q4 VA EDH Data Curation Documentation FY22-Q3... A tipping point in cancer epidemiology: embracing a life course exposomic framework... Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse... Key Links Curriculum Vitae Google Scholar University of Utah Twitter Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing in Health Sciences Section