Todd Lingren
Publications by Year
Research Areas
Metabolomics and Mass Spectrometry Studies, Electronic Health Records Systems, Biomedical Text Mining and Ontologies, Healthcare Technology and Patient Monitoring, Topic Modeling
Most-Cited Works
- → PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability(2016)372 cited
- → GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network(2019)201 cited
- → Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients(2015)141 cited
- → Desiderata for computable representations of electronic health records-driven phenotype algorithms(2015)139 cited
- → Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies(2017)139 cited
- → Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department(2014)120 cited
- → Identification of Four Novel Loci in Asthma in European American and African American Populations(2016)99 cited
- → Large-scale evaluation of automated clinical note de-identification and its impact on information extraction(2012)88 cited
- → 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(2013)87 cited
- → Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis(2014)87 cited