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Data Science and Cardiac Surgery: Can We Bridge the Gap Between Innovation and Application?

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T he paper by Blackstone et al. (1) in this issue of the Journal provides an insightful exploration into predictors of mortality on the heart transplant waitlist at a single… Click to show full abstract

T he paper by Blackstone et al. (1) in this issue of the Journal provides an insightful exploration into predictors of mortality on the heart transplant waitlist at a single institution. The unique and prescient aspect is the “dynamic” analytic display that follows a patient through his or her experience on the waitlist, continuously updating the predicted mortality based on adverse events and resampling of various laboratory indicators of subsystem function. Each recalculation generates a new solution to the hazard function equation, which translates the cumulative hazard into a mortality risk calculation. Theoretically, this method could provide a new paradigm for allocating organs based on a continuous risk model.

Keywords: surgery bridge; gap innovation; cardiac surgery; data science; science cardiac; bridge gap

Journal Title: Journal of the American College of Cardiology
Year Published: 2018

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