Janos G. Hajagos
Orcid: 0000-0001-6251-9586Affiliations:
- Stony Brook University, NY, USA
According to our database1,
Janos G. Hajagos
authored at least 18 papers
between 2004 and 2023.
Collaborative distances:
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Bibliography
2023
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.
Artif. Intell. Medicine, January, 2023
Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.
J. Am. Medical Informatics Assoc., 2023
2022
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
J. Am. Medical Informatics Assoc., 2022
2021
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Proceedings of the AMIA 2019, 2019
2018
2016
S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum.
Proceedings of the AMIA 2016, 2016
2015
Proceedings of the AMIA 2015, 2015
OpenHealth Platform for Interactive Contextualization of Population Health Open Data.
Proceedings of the AMIA 2015, 2015
2014
Linking Clinicians to Biomedical Researchers: An Application of the ISF Ontology at Stony Brook Medicine.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2012
Emerging practices for mapping and linking life sciences data using RDF - A case series.
J. Web Semant., 2012
2011
J. Cheminformatics, 2011
2007
Interval Monte Carlo as an Alternative to Second-Order Sampling for Estimating Ecological Risk.
Reliab. Comput., 2007
2006
Varying correlation coefficients can underestimate uncertainty in probabilistic models.
Reliab. Eng. Syst. Saf., 2006
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliab. Comput., 2006
2004
Reliab. Eng. Syst. Saf., 2004