一种新的方法来创建现实的合成药物数据
Robert Hodges1, Kristen Tokunaga2, Joseph LeGrand3
1Utica University, Charlotte, North Carolina, USA.
JAMIA open
|July 17, 2023
概括
药物多样化工具 (MDT) 增强了合成患者数据,以实现现实的药物概况. 这种开源工具改善了Synthea的产出,有利于医疗保健研究和应用开发.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 医学数据科学 医学数据科学
背景情况:
- 合成患者生成器Synthea此前已经产生了不切实际的药物数据.
- 准确的合成药物概况对于医疗保健研究和应用开发至关重要.
研究的目的:
- 开发一个开源的合成药物数据库,与Synthea集成.
- 创建现实的患者药物配置文件,反映实际的处方模式.
主要方法:
- 开发了药物多样化工具 (MDT).
- 综合公开可用的处方数据 (MEPS) 与药物分类 (RxNorm/RxClass).
- 使用Synthea,Synthea+MDT和MEPS数据与千平方适合性测试进行验证的MDT.
主要成果:
- 在儿童喘队列中,Synthea+MDT产生的药物分布在统计学上无法与现实MEPS数据区分 (P=.84).
- MDT显著提高了Synthea合成药物配置文件的现实性.
结论:
- MDT提供了一种免费的开源方法,用于生成现实的合成患者药物配置文件.
- 该工具增强了Synthea在加速应用程序开发和改进医疗保健数据集的研究和教育方面的实用性.
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