使用电子牙科记录数据和牙周炎病例定义以自动化诊断的可行性
Jay Patel1,2, Daniel Shin3, Lisa Willis1
1Dental Informatics Division; Department of Cariology, Operative Dentistry, and Dental Public Health; Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, Indianapolis, IN, USA.
Studies in health technology and informatics
|January 25, 2024
概括
使用电子牙科记录 (EDR) 进行牙周炎诊断的自动化是可行的. 这种方法可以准确地识别牙周炎的患病率,克服了传统流行病学研究的局限性.
科学领域:
- 牙科公共卫生 牙科公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 牙周炎影响到42%的美国人口,导致牙不可逆转的损失.
- 关于牙周炎患病率的传统流行病学研究因成本和道德问题而面临挑战.
- 准确的诊断和监测对于制定有效的预防策略至关重要.
研究的目的:
- 为了确定使用电子牙科记录 (EDR) 数据自动化牙周炎诊断的可行性.
- 为牙周炎病例定义开发和验证一个计算机算法.
- 评估EDR数据对大规模流行病学研究的潜力.
主要方法:
- 利用了印第安纳大学牙医学院28908名独特患者的EDR数据.
- 开发并测试了一种基于既有牙周炎病例定义的计算机算法.
- 使用灵敏度,特异性和准确度指标评估算法的性能.
主要成果:
- 确定了44%的中度牙周炎患者,22%的严重患者和1%的轻度患者.
- 自动化算法实现了100%的灵敏度,特异性和准确性.
- 高质量的EDR数据对于算法的卓越性能至关重要.
结论:
- 使用EDR数据进行自动牙周炎诊断是可行的,并且非常准确.
- 这种方法为开展全国范围的流行病学研究提供了具有成本效益和伦理性的解决方案.
- EDR数据可以促进持续监测和研究牙周炎患病率和预防.
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