Matthew M. Churpek

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Transfer Learning

Diagnostic Reasoning

Prediction Model

Language Processing

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

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
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31 (6) (2024)
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
Development and external validation of deep learning clinical prediction models using variable-length time series data. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142 (2023)
Sivasubramanium V. Bhavani, Li Xiong, Abish Pius, Matthew W. Semler, Edward T. Qian, Philip A. Verhoef, Chad Robichaux, Craig M. Coopersmith, Matthew M. Churpek
Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. J. Am. Medical Informatics Assoc. 30 (6) (2023)
Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Majid Afshar
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR (2023)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138 (2023)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC (2022)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR (2022)
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR (2022)
Fereshteh S. Bashiri, John R. Caskey, Anoop 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
Identifying infected patients using semi-supervised and transfer learning. J. Am. Medical Informatics Assoc. 29 (10) (2022)
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING (2022)
Anoop Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA (2022)
Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA (2021)
Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. J. Am. Medical Informatics Assoc. 28 (11) (2021)
John R. Caskey, Fereshteh S. Bashiri, Anoop 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
Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA (2021)
Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar
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. AMIA (2021)
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR (2021)
Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA (2021)
L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, Matthew M. Churpek
Comparison of variable selection methods for clinical predictive modeling. Int. J. Medical Informatics 116 (2018)
Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA (2018)
Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum
A Deeper Exploration of Contagious Risk and the Neighborhood Effect. CRI (2017)
Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. J. Biomed. Informatics 64 (2016)