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. 2022 Apr 20;5:50. doi: 10.1038/s41746-022-00594-w

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — a Inclusion of the local weather information as features in predicting no-shows at medical appointments, where performance is evaluated in terms of AUROC. b Inclusion of the local weather information as a predictor in predicting no-shows at medical appointments, where performance is evaluated in terms of AUPRC. c Importance of each weather-related feature in predicting no-shows. d Examples of importance of each feature in predicting no-shows in different visits of patients.