首页|GHOSTS: Generation of synthetic hospital time series for clinical machine learni ng research
GHOSTS: Generation of synthetic hospital time series for clinical machine learni ng research
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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.
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