Scientists develop machine learning tool to predict patient deterioration

A new machine learning tool that can predict patient deterioration has been developed by scientists from the Commonwealth Scientific and Industrial Research Organisation, Australia’s national science agency.


In collaboration with Princess Alexandra Hospital and Metro South Health, the researchers harnessed EMR data to develop the said tool that can predict when a patient’s vital signs are likely to reach a danger zone, leading to their decline.

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