Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study
BackgroundThe phenomenon of patients missing booked appointments without canceling them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA)—has a detrimental effect on patients’ health and results in massive health care resource wastage. O...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
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JMIR Publications
2024-01-01
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| Reeks: | JMIR Medical Informatics |
| Online toegang: | https://medinform.jmir.org/2024/1/e48273 |
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