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Parisa Rashidi

Showing results (101-110 of 130) with videos related to

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JAMA Network Open|May 16, 2022
Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile PlatformYuanfang Ren, Tyler J Loftus, Shounak Datta, et al.
Frontiers in Neurology|May 24, 2024
Wearable sensors in patient acuity assessment in critical careJessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, et al.
PLOS Digital Health|January 2, 2023
Uncertainty-aware deep learning in healthcare: A scoping reviewTyler J Loftus, Benjamin Shickel, Matthew M Ruppert, et al.
Critical Care Explorations|January 26, 2023
Predictive Modeling for Readmission to Intensive Care: A Systematic ReviewMatthew M Ruppert, Tyler J Loftus, Coulter Small, et al.
The Journal of Surgical Research|May 15, 2022
Early Biomarker Signatures in Surgical SepsisR W M A Madushani, Vishal Patel, Tyler Loftus, et al.
Research Square|August 16, 2024
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction ModelMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Kidney360|May 5, 2026
Reinforcement Learning for Intraoperative Hypotension Management with Consideration to Postoperative Acute Kidney InjuryEsra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboin, et al.
Arxiv|June 10, 2025
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learningEsra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, et al.
Assessment|March 18, 2024
A Network Analysis of Digital Clock Drawing for Command and Copy ConditionsBrandon Frank, Sabyasachi Bandyopadhyay, Catherine Dion, et al.
Annals of Surgery|July 7, 2022
Postoperative Overtriage to an Intensive Care Unit Is Associated With Low Value of CareTyler J Loftus, Matthew M Ruppert, Tezcan Ozrazgat-Baslanti, et al.
Pageof 13

Showing results (101-110 of 130) with videos related to

Sort By:
Pageof 13
JAMA Network Open|May 16, 2022
Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile PlatformYuanfang Ren, Tyler J Loftus, Shounak Datta, et al.
Frontiers in Neurology|May 24, 2024
Wearable sensors in patient acuity assessment in critical careJessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, et al.
PLOS Digital Health|January 2, 2023
Uncertainty-aware deep learning in healthcare: A scoping reviewTyler J Loftus, Benjamin Shickel, Matthew M Ruppert, et al.
Critical Care Explorations|January 26, 2023
Predictive Modeling for Readmission to Intensive Care: A Systematic ReviewMatthew M Ruppert, Tyler J Loftus, Coulter Small, et al.
The Journal of Surgical Research|May 15, 2022
Early Biomarker Signatures in Surgical SepsisR W M A Madushani, Vishal Patel, Tyler Loftus, et al.
Research Square|August 16, 2024
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction ModelMiguel Contreras, Brandon Silva, Benjamin Shickel, et al.
Kidney360|May 5, 2026
Reinforcement Learning for Intraoperative Hypotension Management with Consideration to Postoperative Acute Kidney InjuryEsra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboin, et al.
Arxiv|June 10, 2025
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learningEsra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina, et al.
Assessment|March 18, 2024
A Network Analysis of Digital Clock Drawing for Command and Copy ConditionsBrandon Frank, Sabyasachi Bandyopadhyay, Catherine Dion, et al.
Annals of Surgery|July 7, 2022
Postoperative Overtriage to an Intensive Care Unit Is Associated With Low Value of CareTyler J Loftus, Matthew M Ruppert, Tezcan Ozrazgat-Baslanti, et al.
Pageof 13