Wei-Qi Wei, M.D., Ph.D.

Affiliations: 
Biomedical Informatics Vanderbilt University School of Medicine, Nashville, TN, United States 
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"Wei-Qi Wei"

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Patrick Wu grad student 2017- Vanderbilt Medical School (Cell Biology Tree)
Juan Zhao post-doc Vanderbilt Medical School (Computational Biology Tree)
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Publications

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Wiese AD, Phillippi JC, Muhar A, et al. (2024) Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants. Hospital Pediatrics
Jiang L, Gangireddy S, Dickson AL, et al. (2024) Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry. Journal of Lipid Research. 100569
Aggarwal SK, Jiang L, Liu G, et al. (2024) Individualized Dose-Response to Statins Associated with Cardiovascular Disease Outcomes. Jacc. Advances. 3
Guare L, Humphrey LA, Rush M, et al. (2024) Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records. Medrxiv : the Preprint Server For Health Sciences
Lewis ACF, Chisholm RL, Connolly JJ, et al. (2024) Managing differential performance of polygenic risk scores across groups: Real-world experience of the eMERGE Network. American Journal of Human Genetics
Mosley JD, Shelley JP, Dickson AL, et al. (2024) Clinical associations with a polygenic predisposition to benign lower white blood cell counts. Nature Communications. 15: 3384
Hui D, Dudek S, Kiryluk K, et al. (2024) Risk factors affecting polygenic score performance across diverse cohorts. Medrxiv : the Preprint Server For Health Sciences
Yan C, Ong HH, Grabowska ME, et al. (2024) Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal of the American Medical Informatics Association : Jamia
Jiang L, Gangireddy S, Dickson AL, et al. (2024) Characterizing genetic profiles for high triglyceride levels in U.S. patients of African ancestry. Medrxiv : the Preprint Server For Health Sciences
Deng Y, Pacheco JA, Ghosh A, et al. (2024) Natural language processing to identify lupus nephritis phenotype in electronic health records. Bmc Medical Informatics and Decision Making. 22: 348
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