Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

Research article (JMIR Research Protocols, 2021) · cited 36× · AI/ML
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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-large-scale-electronic-health-records-and-interpretable-machine-learning-for-clinical-decision-making-at-the-
MLA “Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-large-scale-electronic-health-records-and-interpretable-machine-learning-for-clinical-decision-making-at-the-.
BibTeX @misc{4ortxyz_leveraging-large-scale-electronic-health-records-and-interpretable-machine-learning-for-clinical-decision-making-at-the-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-large-scale-electronic-health-records-and-interpretable-machine-learning-for-clinical-decision-making-at-the-}, note = {Accessed: 2026-05-24}}
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