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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
H F Niles1, B C Walsh1, S W Woods1
1Department of Psychiatry and the Connecticut Mental Health Center, Yale University, New Haven, CT, USA.
Subthreshold perceptual abnormalities do not reliably predict psychosis risk in clinical high-risk (CHR) individuals. However, verbal auditory experiences may indicate an elevated risk for conversion to psychosis.
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