This research paper discusses the issue of missing data in electronic patient records (EPRs) and its impact on clinical data analysis. The authors argue that missing data can lead to…
Continue readingThe paper presents a new approach to predicting with missing data by viewing it as a two-stage adaptive optimization problem. Traditionally, missing data points are imputed before predictions are made….
Continue readingThis academic article by researchers from the University of Waterloo focuses on the challenge of generating synthetic data with differential privacy (DP) guarantees when the input data has missing values….
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