预测和建模罕见事件结果的进展，以增强决策制定。
Advancements in predicting and modeling rare event outcomes for enhanced decision-making.
机构信息
Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, 5790 University Ave., Halifax, NS, B3H 1V7, Canada.
School of Public Health, University of Saskatchewan, 104 Clinic Place, Saskatoon, SK, S7N2Z4, Canada.
出版信息
BMC Med Res Methodol. 2023 Oct 18;23(1):243. doi: 10.1186/s12874-023-02060-x.
Abstract
Predicting rare events is a challenging task due to limited data and imbalanced datasets. This special issue explores methodological advancements in prediction and modeling for rare events. The research showcased in this issue aims to provide valuable insights and strategies to enhance the accuracy of rare event prediction and modeling.
摘要
预测罕见事件是一项具有挑战性的任务，因为数据有限且数据集不平衡。本期特刊探讨了罕见事件预测和建模的方法进展。本期特刊中展示的研究旨在提供有价值的见解和策略，以提高罕见事件预测和建模的准确性。
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