Matthew M. Churpek

40 papers B 2Misc 6Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable multimodal deep learning models for variable-length sequences in critically ill patients. J. Biomed. Informatics Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John R. Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek
2026	J	`jnl`	MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling. npj Digit. Medicine Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randall Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	J	`jnl`	Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs. CoRR Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar
2025	J	`jnl`	Evaluating clinical AI summaries with large language models as judges. npj Digit. Medicine Emma Croxford, Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda Schnier, John R. Caskey, Madeline Oguss, Graham Wills, Guanhua Chen, Dmitriy Dligach, Matthew M. Churpek, Anoop M. Mayampurath, Frank J. Liao, Cherodeep Goswami, Karen K. Wong, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Explaining alerts from a pediatric risk prediction model using clinical text. J. Am. Medical Informatics Assoc. Samuel Nycklemoe, Sriharsha Devarapu, Yanjun Gao, Kyle A. Carey, Nicholas Kuehnel, Neil Munjal, Priti Jani, Matthew M. Churpek, Dmitriy Dligach, Majid Afshar, Anoop M. Mayampurath
2025	J	`jnl`	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. J. Am. Medical Informatics Assoc. Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2025	J	`jnl`	MoMA: A Mixture-of-Multimodal-Agents Architecture for Enhancing Clinical Prediction Modelling. CoRR Jifan Gao, Mahmudur Rahman, John R. Caskey, Madeline Oguss, Ann P. O'Rourke, Randy Brown, Anne Stey, Anoop M. Mayampurath, Matthew M. Churpek, Guanhua Chen, Majid Afshar
2025	J	`jnl`	Toward digital twins in the intensive care unit: a medication management case study. J. Am. Medical Informatics Assoc. Behnaz Eslami, Majid Afshar, Samie Tootooni, Timothy A. Miller, Matthew M. Churpek, Yanjun Gao, Dmitriy Dligach
2024	J	`jnl`	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	Development and external validation of deep learning clinical prediction models using variable-length time series data. J. Am. Medical Informatics Assoc. 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
2024	J	`jnl`	Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024	J	`jnl`	Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	—	`conf`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. J. Am. Medical Informatics Assoc. Sivasubramanium V. Bhavani, Li Xiong, Abish Pius, Matthew W. Semler, Edward T. Qian, Philip A. Verhoef, Chad Robichaux, Craig M. Coopersmith, Matthew M. Churpek
2023	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	—	`conf`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	J	`jnl`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	J	`jnl`	Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2022	J	`jnl`	A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2022	Misc	`conf`	Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
2022	B	`conf`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Identifying infected patients using semi-supervised and transfer learning. J. Am. Medical Informatics Assoc. 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
2022	J	`jnl`	Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2022	B	`conf`	Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2021	J	`jnl`	A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2021	Misc	`conf`	A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	Misc	`conf`	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 Marissa Borgese, Cara Joyce, Emily E. Anderson, Matthew M. Churpek, Majid Afshar
2021	J	`jnl`	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. Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	Misc	`conf`	Sepsis Prediction Using Semi-Supervised and Transfer Learning. AMIA 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
2021	Misc	`conf`	The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
2018	Misc	`conf`	A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach
2018	J	`jnl`	Comparison of variable selection methods for clinical predictive modeling. Int. J. Medical Informatics L. Nelson Sanchez-Pinto, Laura Ruth Venable, John Fahrenbach, Matthew M. Churpek
2017	—	`conf`	A Deeper Exploration of Contagious Risk and the Neighborhood Effect. CRI Anoop M. Mayampurath, Dana P. Edelson, Michael D. Howell, Matthew M. Churpek, Samuel L. Volchenboum
2016	J	`jnl`	Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. J. Biomed. Informatics Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent X. Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar