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Developing Intermediary Medication Phenotypes via Metabolomics Biotechnology Using an Electronic Health Record-Linked Biobank.

, , , and . AMIA, AMIA, (2015)

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Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure., , , , , , , , and . PSB, page 460-471. (2018)Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics., , , , , , and . MIE, volume 210 of Studies in Health Technology and Informatics, page 914-918. IOS Press, (2015)Novel Phenotype Development Using Non-Traditional Multilevel Population-Based Attributes., and . AMIA, AMIA, (2013)Complexities of a patient-powered data era: BYO (bring your own) genomics and wearables., , , and . AMIA, AMIA, (2019)An informatics research agenda to support precision medicine: seven key areas., , , , , , , , , and 5 other author(s). J. Am. Medical Informatics Assoc., 23 (4): 791-795 (2016)Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort., and . ICHI, page 432-433. IEEE Computer Society, (2018)Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients., , , , and . AMIA, AMIA, (2018)Developing Intermediary Medication Phenotypes via Metabolomics Biotechnology Using an Electronic Health Record-Linked Biobank., , , and . AMIA, AMIA, (2015)