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Updated: Jun 19, 2025

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
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Published on: March 1, 2024

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基于人工智能的移动症状检查器和基于网络的自我推工具在风湿病学中的诊断准确性:多中心随机对照试验

Johannes Knitza1,2,3,4, Koray Tascilar3,4, Franziska Fuchs3,4

  • 1Institute for Digital Medicine, University Hospital Giessen-Marburg, Philipps University Marburg, Marburg, Germany.

Journal of medical Internet research
|July 23, 2024
PubMed
概括

数字诊断决策支持系统 (DDSS) 在诊断炎症性类风湿性疾病 (IRD) 中的准确性较低. 需要改进,以确保患者安全和有效使用医疗保健资源.

关键词:
人工智能是一种人工智能.决定的决定决定的决定.决策支持提供了决策支持.决策支持系统 决策支持系统诊断 诊断 诊断 诊断 诊断 诊断诊断 诊断 诊断 的 诊断 诊断 诊断 的 诊断 诊断 的 诊断诊断决策支持系统系统电子健康 电子健康随机对照试验是随机对照试验.这些资源是资源,资源是资源.类风湿病专家 类风湿病专家类风湿病学 类风湿病学支持支持支持支持支持支持系统支持系统.症状评估 症状评估 症状评估症状检查器是一个症状检查器.工具 工具 工具 工具

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Receiver Operating Characteristic Plot01:15

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A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
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