Article

Machine Learning for Real-Time Aggregated Prediction of Hospital Admission for Emergency Patients

2022-03-10

Abstract excerpt

Machine learning for hospital operations is under-studied. We present a prediction pipeline that uses live electronic health-records for patients in a UK teaching hospital’s emergency department (ED) to generate short-term, probabilistic forecasts of emergency admissions. A set of XGBoost classifiers applied to 109,465 ED visits yielded AUROCs from 0.82 to 0.90 depending on elapsed visit-time at the point of predi...

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Literature Corpus work: 0983ad62-6c85-5d01-88d4-00e94a34b6c3
DOI: 10.1101/2022.03.07.22271999

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