Hossein Estiri

According to our database, Hossein Estiri authored at least 33 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients.

Jonas Hügel, Jan Janosch Schneider, Jiazi Tian, Hossein Estiri, Raphael Koch, Tobias R. Overbeck, Ulrich Sax

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

A Concept for Mining Transitive Sequential Patterns from Pancreatic Cancer Patient Journeys.

Jonas Hügel, Jan Janosch Schneider, Daniel Tran Ortega, Ella Maria Jentsch, Sophia Rheinländer, Nils Hendrik Beyer, Hossein Estiri, Christoph Ammer-Herrmenau, Elisabeth Hessmann, Alexander Otto König, Volker Ellenrieder, Ulrich Sax

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation.

Jeffrey G. Klann, Darren W. Henderson, Michele Morris, Hossein Estiri, Griffin M. Weber, Shyam Visweswaran, Shawn N. Murphy

J. Am. Medical Informatics Assoc., November, 2023

tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data.

Jonas Hügel, Ulrich Sax, Shawn N. Murphy, Hossein Estiri

CoRR, 2023

2022

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

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 E. 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

J. Biomed. Informatics, 2022

An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes.

Hossein Estiri, Zachary H. Strasser, Sina Rashidian, Jeffrey G. Klann, Kavishwar B. Wagholikar, Thomas H. McCoy Jr., Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2022

Machine Learning to Identify Respiratory Sequelae in Patients with COVID-19.

Zachary H. Strasser, Hossein Estiri, Shawn Murphy

Proceedings of the AMIA 2022, 2022

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping.

Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri

Proceedings of the AMIA 2022, 2022

2021

Predicting COVID-19 mortality with electronic medical records.

Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Pourandokht Naseri, Kavishwar B. Wagholikar, Shawn N. Murphy

npj Digit. Medicine, 2021

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.

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

J. Am. Medical Informatics Assoc., 2021

Generative transfer learning for measuring plausibility of EHR diagnosis records.

Hossein Estiri, Sebastien Vasey, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2021

High-throughput phenotyping with temporal sequences.

Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2021

A Machine Learning Approach for Identifying Emergent Phenotypes Associated with a Previous COVID Infection.

Zachary H. Strasser, Hossein Estiri, Shawn N. Murphy

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Temporal Phenotypic Pathways of Post-Acute Sequelae of SARS-CoV-2 by an International Consortium for Clinical Characterization of COVID-19 (4CE).

Shawn N. Murphy, Hossein Estiri, Arianna Dagliati, Riccardo Bellazzi, John H. Holmes

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Addressing Bias in the Application of Machine Learning on Real-World Data.

Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold P. Lehmann

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations.

Hossein Estiri, Zachary H. Strasser, Jeffrey G. Klann, Thomas H. McCoy Jr., Kavishwar B. Wagholikar, Sebastien Vasey, Victor M. Castro, Marykate Murphy, Shawn N. Murphy

Patterns, 2020

Individualized Prediction of COVID-19 Adverse outcomes with MLHO.

Hossein Estiri, Zachary H. Strasser, Shawn N. Murphy

CoRR, 2020

Polar labeling: silver standard algorithm for training disease classifiers.

Kavishwar B. Wagholikar, Hossein Estiri, Marykate Murphy, Shawn N. Murphy

Bioinform., 2020

High-throughput Phenotyping with EHR Sequences.

Shawn N. Murphy, Hossein Estiri, Zachary H. Strasser, Kavishwar B. Wagholikar, Victor M. Castro

Proceedings of the AMIA 2020, 2020

Generative Transfer Learning for Measuring Plausibility of EHR Diagnosis Records Over Time.

Hossein Estiri, Sebastien Vasey, Jeffrey G. Klann, Victor M. Castro, Shawn N. Murphy

Proceedings of the AMIA 2020, 2020

Transitive Sequential Pattern Mining for Discrete Clinical Data.

Hossein Estiri, Sebastien Vasey, Shawn N. Murphy

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

A clustering approach for detecting implausible observation values in electronic health records data.

Hossein Estiri, Jeffrey G. Klann, Shawn N. Murphy

BMC Medical Informatics Decis. Mak., 2019

A federated EHR network data completeness tracking system.

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

J. Am. Medical Informatics Assoc., 2019

Semi-supervised encoding for outlier detection in clinical observation data.

Hossein Estiri, Shawn N. Murphy

Comput. Methods Programs Biomed., 2019

Ontologies Enabling Computable Tables.

Jeffrey G. Klann, Nich Wattanasin, Michael Mendis, Matthew A. Joss, Hossein Estiri, Kavishwar B. Wagholikar, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

EHR Sequencing: A Novel Approach for Constructing Predictive and Interpretable Data Representations from EHR Data.

Hossein Estiri, Thomas H. McCoy, Shawn N. Murphy

Proceedings of the AMIA 2019, 2019

2018

Exploring completeness in clinical data research networks with DQe-c.

Hossein Estiri, Kari A. Stephens, Jeffrey G. Klann, Shawn N. Murphy

J. Am. Medical Informatics Assoc., 2018

<i>kluster</i>: An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning.

Hossein Estiri, Behzad Abounia Omran, Shawn N. Murphy

Big Data Res., 2018

2017

Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool.

Hossein Estiri, Jeffrey G. Klann, Kavishwar B. Wagholikar, Shawn N. Murphy

Proceedings of the AMIA 2017, 2017

Social Determinants of Health: Applied Informatics Approaches Incorporating Context into Care.

Michael Cantor, Hossein Estiri, Rachel Gold, Theresa Cullen

Proceedings of the AMIA 2017, 2017

2016

Implementing partnership-driven clinical federated electronic health record data sharing networks.

Kari A. Stephens, Nicholas R. Anderson, Ching-Ping Lin, Hossein Estiri

Int. J. Medical Informatics, 2016

Applying a Participatory Design Approach to Define Objectives and Properties of a "Data Profiling" Tool for Electronic Health Data.

Hossein Estiri, Terri L. Lovins, Nader Afzalan, Kari A. Stephens

Proceedings of the Summit on Clinical Research Informatics, 2016