Article

Development and validation of a neural network-based survival model for mortality in ischemic heart disease

2023-06-20

Abstract excerpt

<h4>Background</h4> Current risk prediction models for ischemic heart disease (IHD) use a limited set of established risk factors and are based on classical statistical techniques. Using machine-learning techniques and including a broader panel of features from electronic health records (EHRs) may improve prognostication. <h4>Objectives</h4> Developing and externally validating a neural network-based time-to-event...

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Literature Corpus work: 9c96498a-a8e9-558d-835a-b386a1d9d10f
DOI: 10.1101/2023.06.16.23291527

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