Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare - researchr publication authors

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Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu. Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. In Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung, editors, Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA. Volume 182 of Proceedings of Machine Learning Research, pages 741-759, PMLR, 2022. [doi]

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