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This protocol outlines a practical approach for developing deep-learning risk models that can forecast various medical and organizational outcomes from structured electronic health record data. Additionally, we also have an open-source codebase that illustrates some of the main principles in EHR modeling. This protocol can be used by cross-disciplinary teams with programming and medical expertise to develop deep-learning prediction models with alternate data sources and prediction tasks.
Source link: https://doi.org/10.1038/s41596-021-00513-5
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