Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients.
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| Title: | Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients. |
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| Authors: | Bielinski SJ; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Yanes Cardozo LL; Department of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS 39216, USA.; Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.; Mississippi Center of Excellence in Perinatal Research, University of Mississippi Medical Center, Jackson, MS 39216, USA.; Women's Health Research Center, University of Mississippi Medical Center, Jackson, MS 39216, USA., Takahashi PY; Division of Community Internal Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA., Larson NB; Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Castillo A; Center for Informatics and Analytics, University of Mississippi Medical Center, Jackson, MS 39216, USA., Podwika A; Mountain Park Health Center, Phoenix, AZ 85012, USA., De Filippis E; Division of Endocrinology, Diabetes, and Metabolism Department of Medicine, Mayo Clinic Arizona, Scottsdale, AZ 85259, USA., Hernandez V; Mountain Park Health Center, Phoenix, AZ 85012, USA., Mahajan GJ; UMMC Biobank-School of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA., Gonzalez C; Mountain Park Health Center, Phoenix, AZ 85012, USA., Shubhangi; Mountain Park Health Center, Phoenix, AZ 85012, USA., Decker PA; Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Killian JM; Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Olson JE; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.; Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA., St Sauver JL; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN 55905, USA., Shah P; Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA., Vella A; Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA., Ryu E; Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Liu H; Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN 55905, USA., Marshall GD; Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA., Cerhan JR; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA., Singh D; Mountain Park Health Center, Phoenix, AZ 85012, USA., Summers RL; Department of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS 39216, USA. |
| Source: | The Journal of clinical endocrinology and metabolism [J Clin Endocrinol Metab] 2023 Jun 16; Vol. 108 (7), pp. 1740-1746. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 0375362 Publication Model: Print Cited Medium: Internet ISSN: 1945-7197 (Electronic) Linking ISSN: 0021972X NLM ISO Abbreviation: J Clin Endocrinol Metab Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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