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Shamim Nemati

Showing results (41-50 of 130) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Development & Deployment of a Real-time Healthcare Predictive Analytics PlatformAaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
LLM-Powered Automated Infection Detection in Cirrhosis: Achieving Expert-Level Accuracy from Clinical DocumentsYufei Yu, James Ford, Eliah Aronoff-Spencer, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Medrxiv : the Preprint Server for Health Sciences|November 11, 2020
Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Journal of Medical Internet Research|June 23, 2023
Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort StudyAaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, et al.
Annals of Emergency Medicine|January 18, 2021
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning AlgorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Physiological Measurement|September 18, 2018
Multiscale network dynamics between heart rate and locomotor activity are altered in schizophreniaErik Reinertsen, Supreeth P Shashikumar, Amit J Shah, et al.
Physiological Measurement|March 13, 2020
Detecting heart failure using wearables: a pilot studyAmit J Shah, Nino Isakadze, Oleksiy Levantsevych, et al.
JMIR Perioperative Medicine|January 27, 2023
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey StudyEric Mlodzinski, Gabriel Wardi, Clare Viglione, et al.
Pharmacotherapy|September 30, 2025
Nephrocast-V: A Deep Learning Model for the Prediction of Vancomycin Trough Concentration Using Electronic Health Record DataGhodsieh Ghanbari, Craig Stevens, Eliah Aronoff-Spencer, et al.
Pageof 13

Showing results (41-50 of 130) with videos related to

Sort By:
Pageof 13
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Development & Deployment of a Real-time Healthcare Predictive Analytics PlatformAaron Boussina, Supreeth Shashikumar, Fatemeh Amrollahi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
LLM-Powered Automated Infection Detection in Cirrhosis: Achieving Expert-Level Accuracy from Clinical DocumentsYufei Yu, James Ford, Eliah Aronoff-Spencer, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Medrxiv : the Preprint Server for Health Sciences|November 11, 2020
Predicting progression to septic shock in the emergency department using an externally generalizable machine learning algorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Journal of Medical Internet Research|June 23, 2023
Representation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort StudyAaron Boussina, Gabriel Wardi, Supreeth Prajwal Shashikumar, et al.
Annals of Emergency Medicine|January 18, 2021
Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning AlgorithmGabriel Wardi, Morgan Carlile, Andre Holder, et al.
Physiological Measurement|September 18, 2018
Multiscale network dynamics between heart rate and locomotor activity are altered in schizophreniaErik Reinertsen, Supreeth P Shashikumar, Amit J Shah, et al.
Physiological Measurement|March 13, 2020
Detecting heart failure using wearables: a pilot studyAmit J Shah, Nino Isakadze, Oleksiy Levantsevych, et al.
JMIR Perioperative Medicine|January 27, 2023
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey StudyEric Mlodzinski, Gabriel Wardi, Clare Viglione, et al.
Pharmacotherapy|September 30, 2025
Nephrocast-V: A Deep Learning Model for the Prediction of Vancomycin Trough Concentration Using Electronic Health Record DataGhodsieh Ghanbari, Craig Stevens, Eliah Aronoff-Spencer, et al.
Pageof 13