Prithwish Chakraborty | DeepAI

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Featured Co-authors

Jun Li
229 publications
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Chandan K. Reddy
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Deborah L. McGuinness
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∙ 02/11/2023

Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

Medical experts may use Artificial Intelligence (AI) systems with greate...

0 Shruthi Chari, et al. ∙

∙ 07/06/2021

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

Academic advances of AI models in high-precision domains, like healthcar...

11 Shruthi Chari, et al. ∙

∙ 06/24/2021

Disease Progression Modeling Workbench 360

In this work we introduce Disease Progression Modeling workbench 360 (DP...

0 Parthasarathy Suryanarayanan, et al. ∙

∙ 05/16/2021

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

Accurate and explainable health event predictions are becoming crucial f...

0 Chang Lu, et al. ∙

∙ 09/04/2020

Phenotypical Ontology Driven Framework for Multi-Task Learning

Despite the large number of patients in Electronic Health Records (EHRs)...

8 Mohamed Ghalwash, et al. ∙

∙ 07/24/2020

A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records

Many institutions within the healthcare ecosystem are making significant...

4 Parthasarathy Suryanarayanan, et al. ∙

∙ 03/23/2020

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

Counterfactual prediction is a fundamental task in decision-making. G-co...

0 Rui Li, et al. ∙

∙ 11/15/2019

Explicit-Blurred Memory Network for Analyzing Patient Electronic Health Records

In recent years, we have witnessed an increased interest in temporal mod...

0 Prithwish Chakraborty, et al. ∙

∙ 11/29/2017

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

Electronic medical records (EMR) contain longitudinal information about ...

0 Prithwish Chakraborty, et al. ∙

∙ 02/22/2017

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

Real-time monitoring and responses to emerging public health threats rel...

0 Saurav Ghosh, et al. ∙

∙ 06/01/2016

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

In retrospective assessments, internet news reports have been shown to c...

0 Saurav Ghosh, et al. ∙

∙ 03/31/2016

Hierarchical Quickest Change Detection via Surrogates

Change detection (CD) in time series data is a critical problem as it re...

0 Prithwish Chakraborty, et al. ∙

∙ 03/01/2016

Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach

Traditional disease surveillance can be augmented with a wide variety of...

0 Saurav Ghosh, et al. ∙

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