综合数据作为高血压和肾脏疾病研究的调查工具。

Aleena Jamal, Som Singh, Fawad Qureshi
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引用次数: 0

摘要

合成数据衍生物是一种新兴的医学研究工具,越来越多的临床研究应用于合成数据衍生物。在肾脏病学中,临床医生可以使用机器学习和人工智能作为临床决策的有力辅助,同时保护患者的隐私。考虑到世界范围内慢性肾脏疾病、肾肿瘤和高血压的流行病学,这一点尤为重要。然而,仍然需要创建一个框架,指导如何更好地利用合成数据作为这项研究的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthetic data as an investigative tool in hypertension and renal diseases research.

There is a growing body of clinical research on the utility of synthetic data derivatives, an emerging research tool in medicine. In nephrology, clinicians can use machine learning and artificial intelligence as powerful aids in their clinical decision-making while also preserving patient privacy. This is especially important given the epidemiology of chronic kidney disease, renal oncology, and hypertension worldwide. However, there remains a need to create a framework for guidance regarding how to better utilize synthetic data as a practical application in this research.

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