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预测外科手术后痴呆症:外部验证和开源库

Thomas Derya Kocar^1,2, Philip Wolf³, Christoph Leinert^4,5

¹Institute for Geriatric Research, AGAPLESION Bethesda Ulm, Ulm University Medical Center, Zollernring 26, 89073, Ulm, Germany. thomas.kocar@uni-ulm.de.

European geriatric medicine

|March 11, 2025

概括

支持手术与GEriatric联合管理和AI (SURGE-Ahead) 算法使用手术前数据准确预测老年人手术后妄想 (POD). 这种经过验证的AI工具有助于早期干预,以获得更好的患者结果.

科学领域:

老年医学老年医学
医疗保健中的人工智能
手术患者护理手术患者护理

背景情况:

手术后痴呆症 (POD) 是老年手术患者经常出现的并发症.
POD与不良结果和增加的医疗保健成本有关.
准确和早期的POD预测对于有效的管理至关重要.

研究的目的:

为了外部验证SURGE-Ahead预测算法对术后妄想的性能.
评估该算法的实用性,以支持老年患者在外科环境中的共同管理.
用手术前数据评估算法的预测准确度.

主要方法:

未来的外部验证研究.
使用了SURGE-Ahead算法,一个具有15个特征的线性支向量机器模型.
分析了173名手术参与者的数据,其中50人患有POD.

主要成果:

SURGE-Ahead算法展示了最先进的性能,其AUC为0.86.
该算法显示了良好的校准,由0.14.4的屏障评分表示.
该算法在GitHub上公开提供,以便更广泛地实现.

结论:

经过验证的SURGE-Ahead算法可靠地使用手术前数据预测POD.
这种人工智能工具可以增强住院老年人的患者护理.
这些发现支持开发用于外科环境的强大的POD预测工具.

关键词:

人工智能的人工智能是人工智能.妄想的预测妄想的预测可解释的人工智能机器学习是机器学习.手术后的妄想症在手术后的妄想症

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