Matthew M. Churpek

According to our database, Matthew M. Churpek authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar

J. Am. Medical Informatics Assoc., 2024

Development and external validation of deep learning clinical prediction models using variable-length time series data.

Fereshteh S. Bashiri, Kyle A. Carey, Jennie Martin, Jay L. Koyner, Dana P. Edelson, Emily R. Gilbert, Anoop M. Mayampurath, Majid Afshar, Matthew M. Churpek

J. Am. Medical Informatics Assoc., 2024

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies.

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar

CoRR, 2024

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar

CoRR, 2024

2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

J. Biomed. Informatics, June, 2023

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar

J. Biomed. Informatics, February, 2023

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection.

Sivasubramanium V. Bhavani, Li Xiong, Abish Pius, Matthew W. Semler, Edward T. Qian, Philip A. Verhoef, Chad Robichaux, Craig M. Coopersmith, Matthew M. Churpek

J. Am. Medical Informatics Assoc., 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.

Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar

CoRR, 2023

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar

CoRR, 2023

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning.

Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

A scoping review of publicly available language tasks in clinical natural language processing.

Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar

J. Am. Medical Informatics Assoc., 2022

Identifying infected patients using semi-supervised and transfer learning.

Fereshteh S. Bashiri, John R. Caskey, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek

J. Am. Medical Informatics Assoc., 2022

Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

CoRR, 2022

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.

Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text.

Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach

Proceedings of the AMIA 2022, 2022

2021

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.

Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

J. Am. Medical Informatics Assoc., 2021

The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.

Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar

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

A multi-label classifier to screen different types of substance misuse in hospitalized patients.

Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar

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

Sepsis Prediction Using Semi-Supervised and Transfer Learning.

John R. Caskey, Fereshteh S. Bashiri, Anoop M. Mayampurath, Nicole Dussault, Jay Dumanian, Sivasubramanium V. Bhavani, Kyle A. Carey, Emily R. Gilbert, Christopher J. Winslow, Nirav S. Shah, Dana P. Edelson, Majid Afshar, Matthew M. Churpek

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

Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.

Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar

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

2018

Comparison of variable selection methods for clinical predictive modeling.

L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, Matthew M. Churpek

Int. J. Medical Informatics, 2018

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach

Proceedings of the AMIA 2018, 2018

2017

A Deeper Exploration of Contagious Risk and the Neighborhood Effect.

Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.

Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent X. Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar

J. Biomed. Informatics, 2016