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Many bio-medical databases such cohort study data suffer from potential errors involved with human factors like mistyping, overlooking some fields. It is crucial to detect such errors at the data entry stage using some techniques like outlier detection. Because such data lie in high-dimensional space and contain many null values, i.e., missing values, most conventional outlier detections are not a...