数据准确性真的很重要
RT @BMC_series: Electronic health records can provide reams of useful data, but incorrect values can hamper analysis. A new paper in #BMCMe…
A clustering approach for detecting implausible observation values in electronic #health records data. https://t.co/BuaQdVJgCx
RT @BMC_series: Electronic health records can provide reams of useful data, but incorrect values can hamper analysis. A new paper in #BMCMe…
Electronic health records can provide reams of useful data, but incorrect values can hamper analysis. A new paper in #BMCMedInformDecisMak presents a better way to identify implausible data: https://t.co/VPmAKtpjPx @mghlcs https://t.co/3HaIRIQWvG
RT @Hossein_Estiri: Here is our latest work, a clustering approach for detecting implausible observation values in electronic health record…
Here is our latest work, a clustering approach for detecting implausible observation values in electronic health records data https://t.co/x4urz0JCgN https://t.co/4sWAxMorWx