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Heart Attack Prediction in Cancer Patient Populations

The Julia Programming Language via YouTube

Overview

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Explore a comprehensive research study examining heart attack prediction in cancer patient populations using Julia programming tools. Learn about an ongoing collaboration analyzing 35 million US patients diagnosed with various forms of cancer across 43 different patient cohorts. Discover how researchers utilize specialized Julia packages including OHDSICohortExpressions.jl, OMOPCDMCohortCreator.jl, HealthBase.jl, and FunSQL.jl to investigate the critical question of predicting second heart attack likelihood in patients who experience an initial heart attack before developing cancer. Gain insights into large-scale medical data analysis methodologies and the application of Julia's ecosystem for healthcare research and predictive modeling in oncology populations.

Syllabus

Heart Attack Prediction in Cancer Patient Populations | Zelko | JuliaCon Global 2025

Taught by

The Julia Programming Language

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