Prithwish Chakraborty
Orcid: 0000-0003-1407-7677
According to our database1,
Prithwish Chakraborty
authored at least 49 papers
between 2009 and 2023.
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Bibliography
2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes.
Artif. Intell. Medicine, March, 2023
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI.
CoRR, 2023
Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
2022
Human-centered explainability for life sciences, healthcare, and medical informatics.
Patterns, 2022
Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database.
CoRR, 2022
Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AI.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
CoRR, 2021
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.
CoRR, 2021
G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime.
Proceedings of the Machine Learning for Health, 2021
KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in Health.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
CoRR, 2020
CoRR, 2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
CoRR, 2019
A Robust Framework for Accelerated Outcome-driven Risk Factor Identification from EHR.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
2017
A Novel Data-Driven Framework for Risk Characterization and Prediction from Electronic Medical Records: A Case Study of Renal Failure.
CoRR, 2017
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources.
CoRR, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017
Data-driven Risk Characterization and Prediction of Renal Failure among Diabetic Type 2 Patients using Electronic Medical Records.
Proceedings of the AMIA 2017, 2017
2016
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks.
CoRR, 2016
CoRR, 2016
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
2012
Discrete harmony search based expert model for epileptic seizure detection in electroencephalography.
Expert Syst. Appl., 2012
Proceedings of the 7th IEEE Conference on Visual Analytics Science and Technology, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Erratum to "On convergence of the multi-objective particle swarm optimizers" [Inform. Sci 181 (2011) 1411-1425].
Inf. Sci., 2011
2010
Designing fractional-order PI<sup>lambda</sup>D<sup>µ</sup> controller using differential harmony search algorithm.
Int. J. Bio Inspired Comput., 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Fundam. Informaticae, 2009
On Optimal Feature Selection using Modified Harmony Search for Power Quality Disturbance Classification.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
On Population Variance and Explorative Power of Invasive Weed Optimization Algorithm.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009