Todd Lingren

发表

Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2018, AMIA.

Pre-annotating Clinical Notes and Clinical Trial Announcements for Gold Standard Corpus Development: Evaluating the Impact on Annotation Speed and Potential Bias

Louise Deléger, Todd Lingren, Katalin Molnár, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2017, AMIA.

Automated detection of medication administration errors in neonatal intensive care

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2015, J. Biomed. Informatics.

Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2014, Journal of the American Medical Informatics Association : JAMIA.

Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies

Patrick B. Ryan, Todd Lingren, Cole Brokamp, 2017, J. Am. Medical Informatics Assoc..

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network.

Robert C. Green, Keith Marsolo, Casey Overby Taylor, 2019, American journal of human genetics.

Predicting the Need for Pediatric Intensive Care Unit (PICU) Transfer for Newly Hospitalized Children with Machine Learning

Yizhao Ni, Todd Lingren, Haijun Zhai, 2013, AMIA.

Large-scale evaluation of automated clinical note de-identification and its impact on information extraction

Keith Marsolo, Fei Xia, Guergana K. Savova, 2013, J. Am. Medical Informatics Assoc..

Facilitating phenotype transfer using a common data model

George Hripcsak, Chunhua Weng, Joshua C. Denny, 2019, J. Biomed. Informatics.

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology, HISB 2012, La Jolla, CA, USA, September 27-28, 2012

Daniel Gruhl, Todd Lingren, Evaline Alessandrini, 2012, HISB.

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

Louise Deléger, Todd Lingren, Katalin Molnár, 2013, J. Am. Medical Informatics Assoc..

Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department

Judith W. Dexheimer, Yizhao Ni, Todd Lingren, 2014, J. Am. Medical Informatics Assoc..

Automated Clinical Trial Eligibility Pre-Screening: Increasing the Efficiency of Participant Identification for Clinical Trials

Judith W. Dexheimer, Yizhao Ni, Todd Lingren, 2014, AMIA.

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients

Louise Deléger, Isaac S. Kohane, Yizhao Ni, 2015, BMC Medical Informatics and Decision Making.

Desiderata for computable representations of electronic health records-driven phenotype algorithms

Paul A. Harris, Gerard Tromp, Jie Xu, 2015, J. Am. Medical Informatics Assoc..

Mining FDA drug labels for medical conditions

K. Bretonnel Cohen, Louise Deléger, Anil G. Jegga, 2013, BMC Medical Informatics and Decision Making.

Detecting Epilepsy Diagnosis in Clinical Notes: A Comparison of Traditional Text Classification Methods

John Pestian, Yizhao Ni, Todd Lingren, 2014, AMIA.

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

Todd Lingren, Haijun Zhai, Megan Kaiser, 2013, Journal of medical Internet research.

An end-to-end hybrid algorithm for automated medication discrepancy detection

Yizhao Ni, Todd Lingren, Megan Kaiser, 2015, BMC Medical Informatics and Decision Making.

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

Louise Deléger, Todd Lingren, Haijun Zhai, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Electronic medical records as a replacement for prospective research data collection in postoperative pain and opioid response studies

Keith Marsolo, Xue Zhang, Todd Lingren, 2018, Int. J. Medical Informatics.

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Paul A. Harris, Gerard Tromp, Joshua C. Denny, 2016, J. Am. Medical Informatics Assoc..

Linking Medications and Their Attributes in Clinical Notes and Clinical Trial Announcements for Information Extraction: A Sequence Labeling Approach

Louise Deléger, Todd Lingren, Haijun Zhai, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

A sequence labeling approach to link medications and their attributes in clinical notes and clinical trial announcements for information extraction

Louise Deléger, Todd Lingren, Haijun Zhai, 2012, J. Am. Medical Informatics Assoc..

Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification

Louise Deléger, Eric S. Kirkendall, Todd Lingren, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Building Gold Standard Corpora for Medical Natural Language Processing Tasks

Keith Marsolo, Louise Deléger, Michal Kouril, 2012, AMIA.

Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network

Joshua C. Denny, Chunhua Weng, Wei-Qi Wei, 2019, J. Biomed. Informatics.

Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research

Keith Marsolo, Louise Deléger, Michal Kouril, 2014, J. Biomed. Informatics.

Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support

Eric S. Kirkendall, Yizhao Ni, Todd Lingren, 2019, Journal of medical Internet research.

Integrating and Evaluating the Data Quality and Utility of Smart Pump Information in Detecting Medication Administration Errors: Evaluation Study

Yizhao Ni, Todd Lingren, Eric Kirkendall, 2020, JMIR medical informatics.

Identification of Four Novel Loci in Asthma in European American and African American Populations

Peggy L. Peissig, Jennifer A. Pacheco, Iftikhar J. Kullo, 2017, American journal of respiratory and critical care medicine.

Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Yizhao Ni, Todd Lingren, Haijun Zhai, 2014, Resuscitation.

Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis

Keith Marsolo, Marylyn D. Ritchie, Aleksey A. Porollo, 2014, Front. Genet..

EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children

Keith Marsolo, Isaac S. Kohane, Todd Lingren, 2013, Front. Genet..

Suboptimal Clinical Documentation in Young Children with Severe Obesity at Tertiary Care Centers

Todd Lingren, Jonathan P. Bickel, Isaac S Kohane, 2016, International journal of pediatrics.

A GWAS Study on Liver Function Test Using eMERGE Network Participants

Keith Marsolo, Marylyn D. Ritchie, Shefali S. Verma, 2015, PloS one.

Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder

Finale Doshi-Velez, Pei Chen, Joseph Bochenek, 2016, PloS one.