Evan Sholle

Orcid: 0000-0001-9518-4399

According to our database1, Evan Sholle authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center.
Int. J. Medical Informatics, February, 2024

2023
A method to automate the discharge summary hospital course for neurology patients.
J. Am. Medical Informatics Assoc., November, 2023

2022
An architecture for research computing in health to support clinical and translational investigators with electronic patient data.
J. Am. Medical Informatics Assoc., 2022

Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
J. Am. Medical Informatics Assoc., 2022

Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.
Int. J. Medical Informatics, 2022

2021
Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data.
J. Biomed. Informatics, 2021

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Comparing Automated Extraction to Manual Chart Review for COVID-Specific Research Data Abstraction: A Case Study.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Impact of Social Determinants of Health on Predictive Models in 30-Day Hospital Readmission or Death for Patients with Severe Obesity.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Extracting and classifying diagnosis dates from clinical notes: A case study.
J. Biomed. Informatics, 2020

A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.
Appl. Clin. Inform., 2020

Weak Supervision to Classify Unstructured Clinical Text for Current Suicidal Ideation.
Proceedings of the AMIA 2020, 2020

Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020

2019
Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.
J. Am. Medical Informatics Assoc., 2019

Informatics approaches to collecting, analyzing, and addressing social determinants of health in healthcare.
Proceedings of the AMIA 2019, 2019

Automated Information Extraction to Support Response Assessment in Myeloproliferative Neoplasms.
Proceedings of the AMIA 2019, 2019

Validation of a Computable Phenotype for Site-Specific Cancer Treatment.
Proceedings of the AMIA 2019, 2019

2018
A scalable method for supporting multiple patient cohort discovery projects using i2b2.
J. Biomed. Informatics, 2018

Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Methods for Integrating EHRs, Social Determinants of Health, and Built Environment Data for Patient-Centered Research.
Proceedings of the AMIA 2018, 2018

Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.
Proceedings of the AMIA 2018, 2018

2017
Research Data Repositories: A Tailored Approach to Secondary Use of Electronic Health Record Data.
Proceedings of the Summit on Clinical Research Informatics, 2017

Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data.
Proceedings of the Summit on Clinical Research Informatics, 2017

Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers.
Proceedings of the AMIA 2017, 2017


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