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2. Author Correction: Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

3. Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

4. Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network

5. Patient characteristics, pain treatment patterns, and incidence of total joint replacement in a US population with osteoarthritis

6. Under-specification as the source of ambiguity and vagueness in narrative phenotype algorithm definitions

9. The FDA Sentinel Real World Evidence Data Enterprise (RWE‐DE).

10. Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning.

11. Neptune: an environment for the delivery of genomic medicine

14. A general framework for developing computable clinical phenotype algorithms.

15. Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

16. Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of International Classification of Diseases, Tenth Revision, Clinical Modification codes.

17. Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies

18. Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

19. Association between triglycerides, known risk SNVs and conserved rare variation in SLC25A40 in a multi-ancestry cohort

21. Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization

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

23. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network

25. Facilitating phenotype transfer using a common data model

28. Toward personalizing treatment for depression: predicting diagnosis and severity.

29. Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.

31. Improving BP control through electronic communications: an economic evaluation.

32. Mechanistic phenotypes: an aggregative phenotyping strategy to identify disease mechanisms using GWAS data.

33. Atlas-CNV: a validated approach to call single-exon CNVs in the eMERGESeq gene panel

34. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

35. Abstract 14663: High Rate of Arrhythmia Diagnoses Following Return of Pathogenic/likely Pathogenic Variants in an Unselected Population

36. Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program

37. Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm

39. The phenotypic legacy of admixture between modern humans and Neandertals

41. GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network

44. Characterizing variability of electronic health record-driven phenotype definitions

46. Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

47. Genome-wide association study identifies four novel loci associated with Alzheimer’s endophenotypes and disease modifiers

48. Identifying gene–gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts

49. Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning

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