2025-07-23 –, David Lawrence Hall Room 104
In this talk, we present insights from an ongoing research collaboration exploring 35 million US patients diagnosed with various forms of cancer. We show how we have been using the JuliaHealth ecosystem in performing the research here.
In this talk, we present insights from an ongoing research collaboration exploring 35 million US patients diagnosed with various forms of cancer. In total, we have examined 43 different patient cohorts using tools such as OHDSICohortExpressions.jl, OMOPCDMCohortCreator.jl, HealthBase.jl, FunSQL.jl, and additional tools to explore the central question of, "If a patient has an initial heart attack and later develops cancer, can we predict how likely it is for this patient to have a second heart attack?"
My name is Jacob Scott Zelko! I am currently pursuing my MS in Applied Mathematics at Northeastern University (NEU) and am a trainee of NEU's Roux Institute.
My research career has focused primarily and broadly on population health. In particular, chronic mental illness (i.e. depression, suicidality, and bipolar disorder), social determinants of health and health disparities within intersectional populations, chronic illness, and neurocognitive disabilities. As a convergence of my interests, I am very interested in how we can use mathematical structures (such as categories) to establish meaningful relationships between non-traditional health data sources to gain greater insights into population health. To bridge these worlds, I have been heavily involved with observational health research methods using "Real World Data" and am an active member of both the OHDSI and Category Theory communities.