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Organizational Governance of Emerging Technologies: AI Adoption in Healthcare


May 10, 2023
Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirdre Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David Vidal, Suresh Balu, Mark Sendak

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


Aug 04, 2022
Mark 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

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* Presented at 2022 Machine Learning in Health Care Conference 

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"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning


Dec 07, 2019
Mark Sendak, Madeleine Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien

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* To appear at ACM FAT* 2020, Barcelona. Updated to camera-ready version 

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An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection


Aug 19, 2017
Joseph Futoma, Sanjay Hariharan, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien, Katherine Heller

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* Presented at Machine Learning for Healthcare 2017, Boston, MA 

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Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression


Aug 16, 2016
Joseph Futoma, Mark Sendak, C. Blake Cameron, Katherine Heller

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* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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