A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health

Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara Mangravite, Larsson Omberg. A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. In Ankur Teredesai, Vipin Kumar, Ying Li, RĂ³mer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 54-64, ACM, 2019. [doi]

Abstract

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