Todd Lingren
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Todd Lingren trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Spärck Jones (in Artificial Intelligence)
Papers from Todd Lingren's perspective
Ordered by how strongly the researchers Todd Lingren trusts endorse each paper. Same corpus, a different order for every researcher.
- A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
- Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
- Generating Typed Dependency Parses from Phrase Structure Parses
- The NCBI dbGaP database of genotypes and phenotypes (Nature Genetics)
- Genome- and Phenome-Wide Analysis of Cardiac Conduction Identifies Markers of Arrhythmia Risk
- Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions (J. Am. Medical Informatics Assoc.)
- NCBI’s Database of Genotypes and Phenotypes: dbGaP (Nucleic Acids Res.)
- Launching PCORnet, a national patient-centered clinical research network (JAMIA Journal of the American Medical Informatics Association)
- A review of approaches to identifying patient phenotype cohorts using electronic health records
- Understanding and using sensitivity, specificity and predictive values (Indian Journal of Ophthalmology)
Their papers
- PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability (2016) — 347 citations
- The power of genetic diversity in genome-wide association studies of lipids (2021) — 765 citations
- Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department (2014) — 103 citations
- Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care (2014) — 57 citations