Janos G. Hajagos

19 papers B 2Misc 6Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.
Artif. Intell. Medicine
Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Jianyuan Deng, Janos G. Hajagos, Richard N. Rosenthal, Chao Chen, Fusheng Wang
2023 J jnl
Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.
J. Am. Medical Informatics Assoc.
Peter Leese, Adit Anand, Andrew T. Girvin, Amin Manna, Saaya Patel, Yun Jae Yoo, Rachel Wong, Melissa A. Haendel, Christopher G. Chute, Tellen D. Bennett, Janos G. Hajagos, Emily R. Pfaff, Richard A. Moffitt
2022 J jnl
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
J. Am. Medical Informatics Assoc.
Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David A. Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah E. Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura K. Wiley, David A. Williams, Adrian H. Zai
2021 Misc conf
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.
AMIA
Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz
2021 — conf
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.
Poly/DMAH@VLDB
Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin M. Kurç, Kayley Abell-Hart, Janos G. Hajagos, Wei Zhu, Mary M. Saltz, Joel H. Saltz
2021 Misc conf
Informatics to Power Post-COVID Care: A Framework for Patient Care and Secondary Data Use.
AMIA
Sritha Rajupet, Rachel Wong, Donna Moller, Lisa Maldonado, Tricia Weiss, Tahsin M. Kurç, Janos G. Hajagos, Hasit Shah, Mary M. Saltz, Joel H. Saltz, Veena Lingam
2020 B conf
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation.
AIME
Sina Rashidian, Fusheng Wang, Richard A. Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos G. Hajagos, Mary M. Saltz, Joel H. Saltz
2019 Misc conf
Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.
AMIA
Xinyu Dong, Sina Rashidian, Yu Wang, Janos G. Hajagos, Xia Zhao, Richard N. Rosenthal, Jun Kong, Mary M. Saltz, Joel H. Saltz, Fusheng Wang
2018 J jnl
Disease phenotyping using deep learning: A diabetes case study.
CoRR
Sina Rashidian, Janos G. Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly Noel, Rajarsi R. Gupta, Mathew Tharakan, Veena Lingam, Joel H. Saltz, Mary M. Saltz
2016 Misc conf
S2CR3UM: A Solution to the In Silico Relevance, Reliability & Reproducibility Conundrum.
AMIA
Sarah B. Putney, Andrew White, Janos G. Hajagos, Joel H. Saltz, Jonas S. Almeida, Mary M. Saltz
2015 Misc conf
Integrative Informatics and Predictive Modeling Support for Population Health.
AMIA
Mary M. Saltz, Joel H. Saltz, Janos G. Hajagos, Andrew White, Charles Boicey, Jim Murry, Ivan Crnosija, Tahsin M. Kurç, Erich Bremer, Jonas S. Almeida
2015 Misc conf
OpenHealth Platform for Interactive Contextualization of Population Health Open Data.
AMIA
Jonas S. Almeida, Janos G. Hajagos, Ivan Crnosija, Tahsin M. Kurç, Mary M. Saltz, Joel H. Saltz
2014 B conf
Linking Clinicians to Biomedical Researchers: An Application of the ISF Ontology at Stony Brook Medicine.
CBMS
Janos G. Hajagos, Viviktesh Agwan
2012 J jnl
Emerging practices for mapping and linking life sciences data using RDF - A case series.
J. Web Semant.
M. Scott Marshall, Richard D. Boyce, Helena F. Deus, Jun Zhao, Egon L. Willighagen, Matthias Samwald, Elgar Pichler, Janos G. Hajagos, Eric Prud'hommeaux, Susie Stephens
2011 J jnl
Linked open drug data for pharmaceutical research and development.
J. Cheminformatics
Matthias Samwald, Anja Jentzsch, Christopher Bouton, Claus Kallesøe, Egon L. Willighagen, Janos G. Hajagos, M. Scott Marshall, Eric Prud'hommeaux, Oktie Hassanzadeh, Elgar Pichler, Susie Stephens
2007 J jnl
Interval Monte Carlo as an Alternative to Second-Order Sampling for Estimating Ecological Risk.
Reliab. Comput.
Janos G. Hajagos
2006 J jnl
Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity.
Reliab. Comput.
Vladik Kreinovich, Gang Xiang, Scott A. Starks, Luc Longpré, Martine Ceberio, Roberto Araiza, Jan Beck, Raj Kandathi, Asis Nayak, Roberto Torres, Janos G. Hajagos
2006 J jnl
Varying correlation coefficients can underestimate uncertainty in probabilistic models.
Reliab. Eng. Syst. Saf.
Scott Ferson, Janos G. Hajagos
2004 J jnl
Arithmetic with uncertain numbers: rigorous and (often) best possible answers.
Reliab. Eng. Syst. Saf.
Scott Ferson, Janos G. Hajagos