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Hannah Hensman

Showing results (1-10 of 9) with videos related to

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Surgery|September 18, 2022
Multidimensional machine learning models predicting outcomes after traumaDimitrios Moris, Ricardo Henao, Hannah Hensman, et al.
World Journal of Surgery|November 22, 2019
Advanced Modeling to Predict Pneumonia in Combat Trauma PatientsMatthew Bradley, Christopher Dente, Vivek Khatri, et al.
The Journal of Trauma and Acute Care Surgery|August 20, 2019
Random forest modeling can predict infectious complications following trauma laparotomyRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
World Journal of Surgery|April 20, 2020
Correction to: Advanced Modeling to Predict Pneumonia in Combat Trauma PatientsMatthew Bradley, Christopher Dente, Vivek Khatri, et al.
The Journal of Trauma and Acute Care Surgery|March 4, 2021
An integrative model using flow cytometry identifies nosocomial infection after traumaRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
The Journal of Trauma and Acute Care Surgery|April 11, 2023
A random forest model using flow cytometry data identifies pulmonary infection after thoracic injuryRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
Surgery|June 11, 2021
Predicting the need for massive transfusion: Prospective validation of a smartphone-based clinical decision support toolChristopher J Dente, Michael J Mina, Bryan C Morse, et al.
Critical Care Medicine|July 14, 2021
Viral Micro-RNAs Are Detected in the Early Systemic Response to Injury and Are Associated With Outcomes in Polytrauma PatientsDiego Vicente, Seth A Schobel, Simone Anfossi, et al.
The Journal of Trauma and Acute Care Surgery|July 7, 2022
Cellular microRNAs correlate with clinical parameters in multiple injury patientsDiego A Vicente, Seth A Schobel, Simone Anfossi, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Surgery|September 18, 2022
Multidimensional machine learning models predicting outcomes after traumaDimitrios Moris, Ricardo Henao, Hannah Hensman, et al.
World Journal of Surgery|November 22, 2019
Advanced Modeling to Predict Pneumonia in Combat Trauma PatientsMatthew Bradley, Christopher Dente, Vivek Khatri, et al.
The Journal of Trauma and Acute Care Surgery|August 20, 2019
Random forest modeling can predict infectious complications following trauma laparotomyRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
World Journal of Surgery|April 20, 2020
Correction to: Advanced Modeling to Predict Pneumonia in Combat Trauma PatientsMatthew Bradley, Christopher Dente, Vivek Khatri, et al.
The Journal of Trauma and Acute Care Surgery|March 4, 2021
An integrative model using flow cytometry identifies nosocomial infection after traumaRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
The Journal of Trauma and Acute Care Surgery|April 11, 2023
A random forest model using flow cytometry data identifies pulmonary infection after thoracic injuryRondi B Gelbard, Hannah Hensman, Seth Schobel, et al.
Surgery|June 11, 2021
Predicting the need for massive transfusion: Prospective validation of a smartphone-based clinical decision support toolChristopher J Dente, Michael J Mina, Bryan C Morse, et al.
Critical Care Medicine|July 14, 2021
Viral Micro-RNAs Are Detected in the Early Systemic Response to Injury and Are Associated With Outcomes in Polytrauma PatientsDiego Vicente, Seth A Schobel, Simone Anfossi, et al.
The Journal of Trauma and Acute Care Surgery|July 7, 2022
Cellular microRNAs correlate with clinical parameters in multiple injury patientsDiego A Vicente, Seth A Schobel, Simone Anfossi, et al.
Pageof 1