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Shamim Nemati

Showing results (61-70 of 130) with videos related to

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Respiratory Physiology & Neurobiology|July 2, 2013
Respiration and heart rate complexity: effects of age and gender assessed by band-limited transfer entropyShamim Nemati, Bradley A Edwards, Joon Lee, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor FeaturesHaben H Yhdego, Arshia Nayebnazar, Fatemeh Amrollahi, et al.
Frontiers in Pediatrics|October 4, 2021
Deep Learning Model to Predict Serious Infection Among Children With Central Venous LinesAzade Tabaie, Evan W Orenstein, Shamim Nemati, et al.
Critical Care Medicine|December 30, 2017
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICUShamim Nemati, Andre Holder, Fereshteh Razmi, et al.
Journal of Medical Internet Research|February 13, 2023
Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case StudyParker Rogers, Aaron E Boussina, Supreeth P Shashikumar, et al.
Physiological Measurement|June 14, 2018
A comparison of entropy approaches for AF discriminationChengyu Liu, Julien Oster, Erik Reinertsen, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Predicting Hospital Readmission among Patients with Sepsis using Clinical and Wearable DataFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Haben Yhdego, et al.
IEEE Transactions on Bio-Medical Engineering|February 14, 2015
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman FiltersJulien Oster, Joachim Behar, Omid Sayadi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured DataSally L Baxter, Adam R Klie, Bharanidharan Radha Saseendrakumar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Monitoring and detecting atrial fibrillation using wearable technologyShamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, et al.
Pageof 13

Showing results (61-70 of 130) with videos related to

Sort By:
Pageof 13
Respiratory Physiology & Neurobiology|July 2, 2013
Respiration and heart rate complexity: effects of age and gender assessed by band-limited transfer entropyShamim Nemati, Bradley A Edwards, Joon Lee, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor FeaturesHaben H Yhdego, Arshia Nayebnazar, Fatemeh Amrollahi, et al.
Frontiers in Pediatrics|October 4, 2021
Deep Learning Model to Predict Serious Infection Among Children With Central Venous LinesAzade Tabaie, Evan W Orenstein, Shamim Nemati, et al.
Critical Care Medicine|December 30, 2017
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICUShamim Nemati, Andre Holder, Fereshteh Razmi, et al.
Journal of Medical Internet Research|February 13, 2023
Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case StudyParker Rogers, Aaron E Boussina, Supreeth P Shashikumar, et al.
Physiological Measurement|June 14, 2018
A comparison of entropy approaches for AF discriminationChengyu Liu, Julien Oster, Erik Reinertsen, et al.
Medrxiv : the Preprint Server for Health Sciences|April 24, 2023
Predicting Hospital Readmission among Patients with Sepsis using Clinical and Wearable DataFatemeh Amrollahi, Supreeth Prajwal Shashikumar, Haben Yhdego, et al.
IEEE Transactions on Bio-Medical Engineering|February 14, 2015
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman FiltersJulien Oster, Joachim Behar, Omid Sayadi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured DataSally L Baxter, Adam R Klie, Bharanidharan Radha Saseendrakumar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Monitoring and detecting atrial fibrillation using wearable technologyShamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, et al.
Pageof 13