Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset: Empirical Studies of Metabolic Syndrome Prediction

Ji-Han Liu, Cheng-Tse Wu, Ta-Wei Chu, Jyh-Shing Roger Jang. Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset: Empirical Studies of Metabolic Syndrome Prediction. In ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, Shenzhen, China, February 15-17, 2020. pages 208-212, ACM, 2020. [doi]

Abstract

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