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Hossein Estiri
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2020 – today
- 2023
- [j16]Jeffrey G. Klann
, Darren W. Henderson, Michele Morris, Hossein Estiri
, Griffin M. Weber
, Shyam Visweswaran
, Shawn N. Murphy:
A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. J. Am. Medical Informatics Assoc. 30(12): 1985-1994 (2023) - [i2]Jonas Hügel, Ulrich Sax
, Shawn N. Murphy, Hossein Estiri:
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data. CoRR abs/2309.05671 (2023) - 2022
- [j15]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) - [j14]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
:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j13]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:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (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
- [j12]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) - [j11]Hossein Estiri
, Zachary H. Strasser
, Shawn N. Murphy:
High-throughput phenotyping with temporal sequences. J. Am. Medical Informatics Assoc. 28(4): 772-781 (2021) - [j10]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) - [j9]Hossein Estiri
, Zachary H. Strasser
, Jeffrey G. Klann
, Pourandokht Naseri, Kavishwar B. Wagholikar
, Shawn N. Murphy:
Predicting COVID-19 mortality with electronic medical records. npj Digit. Medicine 4 (2021) - [c12]Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold P. 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
, Jeffrey 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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