Article

Predicting Hospital Outpatient Attendance Using Random Forest Classifiers

2021-05-05

Abstract excerpt

Background: Patient non-attendance of outpatient appointments is a major concern for healthcare providers. These non-attendances are detrimental to the patient's health and a major cost to the provider. However, non-targeted interventions may cost more in administrative resources than the missed appointments themselves. <br><br>Methods: In this work, a random forest classification algorithm was trained to predic...

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Literature Corpus work: 07b42119-26c6-52f3-9861-46bc1cde28bc
DOI: 10.2139/ssrn.3840368

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