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Updated: Jun 18, 2025

An R-Based Landscape Validation of a Competing Risk Model
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An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

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通过HL7-FHIR互操作贝叶斯网络和专家规则开发和初步验证产科数据质量评估工具,通过HL7-FHIR互操作贝叶斯网络和专家规则获得真实世界的数据

João Coutinho-Almeida1,2,3, Carlos Saez4, Ricardo Correia1,2,3

  • 1CINTESIS@RISE-Centre for Health Technologies and Services Research, University of Porto, 4200-319 Porto, Portugal.

JAMIA open
|July 29, 2024
PubMed
概括

本研究引入了一种用于评估产科电子健康记录 (EHR) 数据质量的新工具,使用健康7级 (HL7) 快速医疗互操作资源 (FHIR) 标准和贝叶斯网络. 该工具有效地识别数据质量问题,改善临床决策和研究准确性.

关键词:
贝叶斯网络是一个贝叶斯网络.菲希尔 (FHIR) 是一个人.数据质量数据质量数据质量机器学习就是机器学习.现实世界的数据数据.

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