Researchers from Boston Children’s Hospital and Yonsei University created an AI Model-a machine learning tool- to predict no-shows at appointments in the paediatric department with the help of weather forecast information. While looking at several factors with the help of the data imputation method, no-show appointments can be anticipated. The data imputation is adopted to check insufficient patients’ information and local weather information as they are indicative of whether a patient will show up at the appointment or not. This model is devised to combat the problems that arise from no-shows in terms of hospitals’ and clinics’ resources and patients’ health.
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