AIMC Topic: No-Show Patients

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Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes.

Journal of diabetes science and technology May 3, 2016
BACKGROUND: About 10% of patients with diabetes discontinue treatment, resulting in the progression of diabetes-related complications and reduced quality of life.
Humans Machine Learning Algorithms Female Male ROC Curve Logistic Models Diabetes Mellitus Area Under Curve No-Show Patients
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Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.

Studies in health technology and informatics Aug 22, 2024
Patients who do not show up for scheduled appointments are a considerable cost and concern in healthcare. In this study, we predict patient no-shows for outpatient surgery at the endoscopy ward of a hospital in Denmark. The predictions are made by tr...
Humans Machine Learning Denmark Appointments and Schedules No-Show Patients
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Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.

American journal of public health Apr 1, 2020
Humans Machine Learning Socioeconomic Factors Health Services Accessibility Appointments and Schedules No-Show Patients Black or African American
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