Article
EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health records
2024-03-04
Abstract excerpt
<h4>ABSTRACT</h4> The healthcare landscape is experiencing a transformation with the integration of Artificial Intelligence (AI) into traditional analytic workflows. However, this advancement encounters challenges due to variations in clinical practices, resulting in a crisis of generalisability. Addressing this issue, our proposed solution, EHR-ML, offers an open-source pipeline designed to empower researchers an...
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Identifiers and source
- Literature Corpus work
- 2543420e-2650-53fa-a7a0-786d6929dd62
- DOI
- 10.1101/2024.03.02.24302664
