Soleimani, Hossein

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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Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing

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

Sepsis Diagnosis and TreatmentElectronic Health Records Systems

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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

Cited by 5