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2. Olopoenia A, Yamaguchi Y, Peeva E, Berman B, Jagun O, George P. Demographics, clinical characteristics, and treatment patterns among keloid patients: United States Electronic Health Records (EHR) Database Study. Int J Dermatol. 2024 Feb 27. doi: 10.1111/ijd.17099. Epub ahead of print. PMID: 38411301.
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4. Zhu G, Yuan A, Yu D, Zha A, Wu H. Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database. PLOS Digit Health. 2023 Dec 6;2(12):e0000400.
5. Ahlness EA, Orlander J, Brunner J, Cutrona SL, Kim B, Molloy-Paolillo BK, Rinne ST, Rucci J, Sayre G, Anderson E. "Everything's so Role-Specific": VA Employee Perspectives' on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities. J Gen Intern Med. 2023 Oct;38(Suppl 4):991-998.
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