Matthew M. Churpek

Orcid: 0000-0002-4030-5250

According to our database1, Matthew M. Churpek authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task.
J. Biomed. Informatics, June, 2023

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

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

Identifying infected patients using semi-supervised and transfer learning.
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

Sepsis Prediction Using Semi-Supervised and Transfer Learning.
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
Comparison of variable selection methods for clinical predictive modeling.
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
A Deeper Exploration of Contagious Risk and the Neighborhood Effect.
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


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