Matthew M. Churpek
Orcid: 0000-0002-4030-5250
According to our database1,
Matthew M. Churpek
authored at least 24 papers
between 2016 and 2024.
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Bibliography
2024
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.
J. Am. Medical Informatics Assoc., 2024
Development and external validation of deep learning clinical prediction models using variable-length time series data.
J. Am. Medical Informatics Assoc., 2024
2023
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.
J. Biomed. Informatics, June, 2023
J. Biomed. Informatics, February, 2023
Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection.
J. Am. Medical Informatics Assoc., 2023
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.
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.
CoRR, 2023
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task.
CoRR, 2023
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
A scoping review of publicly available language tasks in clinical natural language processing.
J. Am. Medical Informatics Assoc., 2022
J. Am. Medical Informatics Assoc., 2022
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.
CoRR, 2022
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text.
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.
J. Am. Medical Informatics Assoc., 2021
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse.
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.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
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.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2018
Int. J. Medical Informatics, 2018
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.
Proceedings of the AMIA 2018, 2018
2017
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.
J. Biomed. Informatics, 2016