Alina Peluso Research Scientist in Biostatistics Contact 865.341.1014 | PELUSOA@ORNL.GOV All Publications Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium VA EDH Data Curation Documentation FY25-Q1... Geographical Insights into Suicide Mortality Through Spatial Machine Learning Health Care Usage During the COVID-19 Pandemic and the Adoption of Telemedicine: Retrospective Study of Chronic Disease Cohor... VA EDH Data Curation Documentation FY24-Q4... Environmental determinants of health: Measuring multiple physical environmental exposures at the United States census tract level Explaining Health Risk Behaviors in the U.S. with Social Deprivation at Local and Regional Levels VA EDH Data Curation Documentation FY24-Q3 VA EDH Data Curation Documentation FY24-Q2 Deep learning uncertainty quantification for clinical text classification Spatial analysis of social capital and community heterogeneity at the United States county level VA EDH Data Curation Documentation FY24-Q1 VA EDH Data Curation Documentation FY23-Q4 VA EDH Data Curation Documentation FY23-Q3 VA EDH Data Curation Documentation FY23-Q2... VA EDH Data Curation Documentation FY23-Q1... cpgQA: A Benchmark Dataset for Machine Reading Comprehension Tasks on Clinical Practice Guidelines and a Case Study Using Tra... Near real time monitoring and forecasting for COVID-19 situational awareness Automatic information extraction from childhood cancer pathology reports CTSA MHRI Datasets VA EDH Data Curation Documentation FY22-Q2, Rev. 2 Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients VA EDH Data Curation Documentation FY22-Q1, Rev. 2 Key Links Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing in Health Sciences Section Biostatistics and Biomedical Informatics Group
