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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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Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare


May 16, 2021
Chang Lu, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, Yue Ning


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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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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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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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A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure


Nov 29, 2017
Prithwish Chakraborty, Vishrawas Gopalakrishnan, Sharon M. H. Alford, Faisal Farooq


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Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources


Feb 22, 2017
Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan

* This paper has been submitted to a conference 

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Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach


Jun 03, 2016
Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan

* this paper has been submitted to a conference 

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Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks


Jun 01, 2016
Saurav Ghosh, Prithwish Chakraborty, Elaine O. Nsoesie, Emily Cohn, Sumiko R. Mekaru, John S. Brownstein, Naren Ramakrishnan

* This paper has been submitted to a journal 

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Hierarchical Quickest Change Detection via Surrogates


Mar 31, 2016
Prithwish Chakraborty, Sathappan Muthiah, Ravi Tandon, Naren Ramakrishnan

* Submitted to a journal. See demo at https://prithwi.github.io/hqcd_supplementary 

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