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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge


Apr 09, 2021
Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin

* Presented at the AMIA 2021 Virtual Informatics Summit 

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Question-Driven Design Process for Explainable AI User Experiences


Apr 08, 2021
Q. Vera Liao, Milena Pribić, Jaesik Han, Sarah Miller, Daby Sow

* working paper 

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Phenotypical Ontology Driven Framework for Multi-Task Learning


Sep 04, 2020
Mohamed Ghalwash, Zijun Yao, Prithwish Chakraborty, James Codella, Daby Sow


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A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records


Jul 24, 2020
Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty, Bibo Hao, Italo Buleje, Piyush Madan, James Codella, Antonio Foncubierta, Divya Pathak, Sarah Miller, Amol Rajmane, Shannon Harrer, Gigi Yuan-Reed, Daby Sow


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ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction


May 13, 2020
Mohamed Ghalwash, Zijun Yao, Prithwish Chakrabotry, James Codella, Daby Sow


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Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment


May 08, 2020
MingYu Lu, Zachary Shahn, Daby Sow, Finale Doshi-Velez, Li-wei H. Lehman

* 10 pages, 9 figures 

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G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes


Mar 23, 2020
Rui Li, Zach Shahn, Jun Li, Mingyu Lu, Prithwish Chakraborty, Daby Sow, Mohamed Ghalwash, Li-wei H. Lehman


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Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records


Nov 15, 2019
Prithwish Chakraborty, Fei Wang, Jianying Hu, Daby Sow


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