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ORCIDHossein Estiri
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2020 – today
- 2022
[j13]Hossein Estiri
, Zachary H. Strasser, Sina Rashidian, Jeffrey G. Klann, Kavishwar B. Wagholikar, Thomas H. McCoy Jr., Shawn N. Murphy:
An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J. Am. Medical Informatics Assoc. 29(8): 1334-1341 (2022)- [j12]Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [c14]Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri:
A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping. AMIA 2022 - [c13]Zachary H. Strasser, Hossein Estiri, Shawn Murphy:
Machine Learning to Identify Respiratory Sequelae in Patients with COVID-19. AMIA 2022 - 2021
- [j11]Hossein Estiri, Sebastien Vasey, Shawn N. Murphy:
Generative transfer learning for measuring plausibility of EHR diagnosis records. J. Am. Medical Informatics Assoc. 28(3): 559-568 (2021) - [j10]Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy:
High-throughput phenotyping with temporal sequences. J. Am. Medical Informatics Assoc. 28(4): 772-781 (2021) - [j9]Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy:
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28(7): 1411-1420 (2021) - [c12]Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold Lehmann:
Addressing Bias in the Application of Machine Learning on Real-World Data. AMIA 2021 - [c11]Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes:
Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE). AMIA 2021 - [c10]Zachary H. Strasser, Hossein Estiri, Shawn N. Murphy:
A Machine Learning Approach for Identifying Emergent Phenotypes Associated with a Previous COVID Infection. AMIA 2021 - 2020
- [j8]Kavishwar B. Wagholikar, Hossein Estiri, Marykate Murphy, Shawn N. Murphy:
Polar labeling: silver standard algorithm for training disease classifiers. Bioinform. 36(10): 3200-3206 (2020) - [j7]Hossein Estiri, Zachary H. Strasser, Jeffery G. Klann, Thomas H. McCoy Jr., Kavishwar B. Wagholikar, Sebastien Vasey, Victor M. Castro, Marykate Murphy, Shawn N. Murphy:
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. Patterns 1(4): 100051 (2020) - [c9]Hossein Estiri, Sebastien Vasey, Shawn N. Murphy:
Transitive Sequential Pattern Mining for Discrete Clinical Data. AIME 2020: 414-424 - [c8]Hossein Estiri, Sebastien Vasey, Jeffrey G. Klann, Victor M. Castro, Shawn N. Murphy:
Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time. AMIA 2020 - [c7]Shawn N. Murphy, Hossein Estiri, Zachary H. Strasser, Kavishwar B. Wagholikar, Victor M. Castro:
High-throughput Phenotyping with EHR Sequences. AMIA 2020 - [i1]Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy:
Individualized Prediction of COVID-19 Adverse outcomes with MLHO. CoRR abs/2008.03869 (2020)
2010 – 2019
- 2019
- [j6]Hossein Estiri, Shawn N. Murphy:
Semi-supervised encoding for outlier detection in clinical observation data. Comput. Methods Programs Biomed. 181 (2019) - [j5]Hossein Estiri, Jeffrey G. Klann, Sarah R. Weiler, Ernest Alema-Mensah, R. Joseph Applegate, Galina Lozinski, Nandan Patibandla, Kun Wei, William G. Adams, Marc D. Natter, Elizabeth O. Ofili, Brian Ostasiewski, Alexander Quarshie, Gary E. Rosenthal, Elmer V. Bernstam, Kenneth D. Mandl, Shawn N. Murphy:
A federated EHR network data completeness tracking system. J. Am. Medical Informatics Assoc. 26(7): 637-645 (2019) - [j4]Hossein Estiri, Jeffrey G. Klann, Shawn N. Murphy:
A clustering approach for detecting implausible observation values in electronic health records data. BMC Medical Informatics Decis. Mak. 19(1): 142:1-142:16 (2019) - [c6]Hossein Estiri, Thomas H. McCoy, Shawn N. Murphy:
EHR Sequencing: A Novel Approach for Constructing Predictive and Interpretable Data Representations from EHR Data. AMIA 2019 - [c5]Jeffrey G. Klann, Nich Wattanasin, Michael Mendis, Matthew A. Joss, Hossein Estiri, Kavishwar B. Wagholikar, Shawn N. Murphy:
Ontologies Enabling Computable Tables. AMIA 2019 - 2018
- [j3]Hossein Estiri, Behzad Abounia Omran, Shawn N. Murphy:
kluster: An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning. Big Data Res. 13: 38-51 (2018) - [j2]Hossein Estiri, Kari A. Stephens, Jeffrey G. Klann, Shawn N. Murphy:
Exploring completeness in clinical data research networks with DQe-c. J. Am. Medical Informatics Assoc. 25(1): 17-24 (2018) - 2017
- [c4]Michael Cantor, Hossein Estiri, Rachel Gold, Theresa Cullen:
Social Determinants of Health: Applied Informatics Approaches Incorporating Context into Care. AMIA 2017 - [c3]Hossein Estiri, Jeffrey G. Klann, Kavishwar B. Wagholikar, Shawn N. Murphy:
Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool. AMIA 2017 - [c2]Hossein Estiri, Kari A. Stephens, Jeffrey G. Klann, Shawn N. Murphy:
Exploring Completeness in Clinical Data Research Networks with DQe-c. CRI 2017 - 2016
- [j1]Kari A. Stephens, Nicholas R. Anderson, Ching-Ping Lin, Hossein Estiri:
Implementing partnership-driven clinical federated electronic health record data sharing networks. Int. J. Medical Informatics 93: 26-33 (2016) - [c1]Hossein Estiri, Terri L. Lovins, Nader Afzalan, Kari A. Stephens:
Applying a Participatory Design Approach to Define Objectives and Properties of a "Data Profiling" Tool for Electronic Health Data. CRI 2016
Coauthor Index
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