,使

Chun-Ting Yang1, Kerry Ngan1, Dae Hyun Kim2,3

  • 1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

概括

这项研究开发了一个自然语言处理 (NLP) 框架,以验证药物停用在索赔数据中的有效性. 对抗精神病药物,二胺,华法林和DOACs的基于索赔的算法的准确性因药物和差距长度而异.

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