首页|Data on Machine Learning Reported by Marta Camici and Colleagues [Bloodstream infection: derivation and validation of a reliable and multidimensio nal prognostic score based on a machine learning model (BLISCO)]
Data on Machine Learning Reported by Marta Camici and Colleagues [Bloodstream infection: derivation and validation of a reliable and multidimensio nal prognostic score based on a machine learning model (BLISCO)]
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Rome, Italy, by NewsRx j ournalists, research stated, “A bloodstream infection (BSI)prognostic score app licable at the time of blood cultures collection is currently missing. We aimed toderivate and validate ta machine learning model-based BSIs prognostic scores, to predict 14 and 30-dayin-hospital mortality (BLISCO 14d-30d).”
RomeItalyEuropeCyborgsEmerging T echnologiesEpidemiologyMachine Learning