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Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case


Jul 15, 2021
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Fernando Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness

* 4 pages, 4 tables, 3 figures, 2.5 pages appendices To appear and accepted at: KDD Workshop on Applied Data Science for Healthcare (DSHealth), 2021, Virtual 

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Disease Progression Modeling Workbench 360


Jun 24, 2021
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan, Kibichii Bore, William Ogallo, Rachita Chandra, Mohamed Ghalwash, Italo Buleje, Sekou Remy, Shilpa Mahatma, Pablo Meyer, Jianying Hu

* Submitted to OHDSI Collaborator Showcase, 2021 (https://www.ohdsi.org/2021-collaborator-showcase

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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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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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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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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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