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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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用现实世界数据识别形炎的表型算法:开发和验证研究.

Jill Hardin1,2, Gayle Murray1, Joel Swerdel1,2

  • 1Janssen Research and Development, Titusville, NJ, United States.

JMIR dermatology
|August 26, 2023
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概括

在大型观测数据库中,新的算法可以准确地识别腹炎 (HS). 这项研究为研究HS流行病学,改善疾病研究和患者鉴定提供了经过验证的工具.

科学领域:

  • 医疗信息学医学信息学
  • 流行病学 流行病学
  • 健康研究成果研究结果

背景情况:

  • 补腺炎 (HS) 是一种具有重大影响的慢性炎症性皮肤疾病.
  • 观察数据库对于了解HS流行病学至关重要.

研究的目的:

  • 在观察数据库中开发和验证用于识别HS的表型算法.
  • 为了支持大规模的流行病学研究,hidradenitis suppurativa.

主要方法:

  • 使用数据驱动方法创建了四个HS算法 (2事件,2普遍).
  • 使用9个观察医学结果伙伴关系数据库开发算法.
  • 队列诊断和PheValuator工具评估了算法性能指标.

主要成果:

  • 成功开发了两个普遍的和两个事件的HS算法.
  • 需要两个HS诊断代码的流行算法显示了最高的积极预测值 (平均86%).
  • 使用至少一个HS代码的流行算法显示出最高的灵敏度 (平均58%).

结论:

  • 该研究为流行病学研究提供了验证的HS表型算法.
关键词:
算法算法是一种算法.皮肤学 皮肤学流行病学流行病学性炎是一种补充性性炎.这是一种炎症炎症炎症炎症.医学皮肤病医学皮肤病学观察数据 观察数据 观察数据现象型 现象型 是一种现象型.皮肤疾病 皮肤疾病

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  • 对于事件和普遍的HS算法的性能指标可以在多个数据库中获得.
  • 一个严格的,数据驱动的方法确保了HS患者的可靠识别.