Rawat, Nishi

Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis

Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., et al. (2022) · Nature Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

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Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor

Ma, A. J., Rawat, N., Reiter, A., Shrock, C., Zhan, A., Stone, A., Rabiee, A., Griffin, S., Needham, D. M., & Saria, S. (2017) · Critical Care Medicine

Context-Aware Activity Recognition SystemsIntensive Care Unit Cognitive Disorders

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1405: ASSESSING CLINICAL USE AND PERFORMANCE OF A MACHINE LEARNING SEPSIS ALERT FOR SEX AND RACIAL BIAS

Adams, R., Henry, K., Soleimani, H., Rawat, N., Saheed, M., Chen, E., Wu, A., & Saria, S. (2022) · Critical Care Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

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