摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-根据基于预印摘要的新闻报道，我们的记者获得了以下报价来自ME drxiv.org："机器学习(ML)在支持、改进和自动化临床决策方面有很大的希望"在医院。然而，数据保护法规却提供了大量的常规数据跨站点共享模型链接。生成模型可以通过学习从目标人群中合成医院数据，同时确保数据隐私。获得的临床TI系列然而，在重症监护期间，使用已建立的技术很难建模，特别是由于不均匀取样间隔。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from me drxiv.org:“Machine learning (ML) holds great promise to support, improve, and automatize c linical decisionmakingin hospitals. Data protection regulations, however, hind er abundantly available routine data frombeing shared across sites for model tr aining. Generative models can overcome this limitation by learning tosynthesize hospital data from a target population while ensuring data privacy. Clinical ti me series acquiredduring intensive care are, however, difficult to model using established techniques, especially due to unevensampling intervals.
NETL
NSTL