Google and USCF collaborate on machine learning tool to help prevent harmful prescription errors
Machine learning experts working at Google Health have published a new study in tandem with the University of California San Francisco’s (UCSF) computational health sciences department that describes a machine learning model the researchers built that can anticipate normal physician drug prescribing patterns, using a patient’s electronic health records (EHR) as input. That’s useful because … Continue reading Google and USCF collaborate on machine learning tool to help prevent harmful prescription errors
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