Todd Lingren

Orcid: 0000-0003-0311-7100

According to our database1, Todd Lingren authored at least 28 papers between 2012 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.
J. Biomed. Informatics, 2019

Facilitating phenotype transfer using a common data model.
J. Biomed. Informatics, 2019

2018
Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.
J. Am. Medical Informatics Assoc., 2018

Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies.
J. Am. Medical Informatics Assoc., 2018

Electronic medical records as a replacement for prospective research data collection in postoperative pain and opioid response studies.
Int. J. Medical Informatics, 2018

2017
Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts.
Proceedings of the AMIA 2017, 2017

2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.
J. Am. Medical Informatics Assoc., 2016

Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.
Appl. Clin. Inform., 2016

2015
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients.
BMC Medical Informatics Decis. Mak., 2015

An end-to-end hybrid algorithm for automated medication discrepancy detection.
BMC Medical Informatics Decis. Mak., 2015

Automated detection of medication administration errors in neonatal intensive care.
J. Biomed. Informatics, 2015

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.
J. Am. Medical Informatics Assoc., 2015

Desiderata for computable representations of electronic health records-driven phenotype algorithms.
J. Am. Medical Informatics Assoc., 2015

2014
Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research.
J. Biomed. Informatics, 2014

Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements.
J. Am. Medical Informatics Assoc., 2014

Research and applications: Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care.
J. Am. Medical Informatics Assoc., 2014

Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials.
Proceedings of the AMIA 2014, 2014

Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods.
Proceedings of the AMIA 2014, 2014

2013
Mining FDA drug labels for medical conditions.
BMC Medical Informatics Decis. Mak., 2013

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction.
J. Am. Medical Informatics Assoc., 2013

Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.
J. Am. Medical Informatics Assoc., 2013

Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning.
Proceedings of the AMIA 2013, 2013

2012
Cheap, Fast, and Good Enough for the Non-biomedical Domain but is It Usable for Clinical Natural Language Processing? Evaluating Crowdsourcing for Clinical Trial Announcement Named Entity Annotations.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Pre-annotating Clinical Notes and Clinical Trial Announcements for Gold Standard Corpus Development: Evaluating the Impact on Annotation Speed and Potential Bias.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Building Gold Standard Corpora for Medical Natural Language Processing Tasks.
Proceedings of the AMIA 2012, 2012


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