Model Validation

Fillmore has focused on the development and external validation of predictive models to improve risk stratification in oncology and acute care. His work demonstrates that machine learning and natural language processing tools can outperform traditional clinical benchmarks in predicting cancer-associated thrombosis, cardiovascular risk, and mortality. By validating these models across diverse cohorts and electronic health record systems, he has established the scalability and reliability of automated tools for personalized patient management.