Article

Using Machine Learning and Natural Language Processing in Triage for Prediction of Clinical Disposition in the Emergency Department

2024-07-10

Abstract excerpt

<title>Abstract</title> <p>BACKGROUND: Accurate triage is required for efficient allocation of resources and to decrease patients’ length of stay. Triage decisions are often subjective and vary by provider, leading to patients being over-triaged or under-triaged. This study developed machine learning models that incorporated natural language processing to predict patient disposition. The models were assessed by...

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Literature Corpus work: 0a417b32-0cfe-5030-8d1f-2e0d421e67d0
DOI: 10.21203/rs.3.rs-4482106/v1

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