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Emily Pellegrini

Showing results (11-20 of 20) with videos related to

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American Journal of Infection Control|January 24, 2022
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patientsSaarang Panchavati, Nicole S Zelin, Anurag Garikipati, et al.
Healthcare Technology Letters|December 23, 2021
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratificationSaarang Panchavati, Carson Lam, Nicole S Zelin, et al.
Kidney International Reports|May 20, 2021
Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury PredictionSidney Le, Angier Allen, Jacob Calvert, et al.
JMIR Formative Research|August 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation StudyCarson Lam, Chak Foon Tso, Abigail Green-Saxena, et al.
BMC Medical Informatics and Decision Making|October 28, 2020
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
BMJ Health & Care Informatics|May 2, 2020
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Computers in Biology and Medicine|August 18, 2020
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Health Informatics Journal|December 31, 2019
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality predictionHamid Mohamadlou, Saarang Panchavati, Jacob Calvert, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
American Journal of Infection Control|January 24, 2022
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patientsSaarang Panchavati, Nicole S Zelin, Anurag Garikipati, et al.
Healthcare Technology Letters|December 23, 2021
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratificationSaarang Panchavati, Carson Lam, Nicole S Zelin, et al.
Kidney International Reports|May 20, 2021
Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury PredictionSidney Le, Angier Allen, Jacob Calvert, et al.
JMIR Formative Research|August 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation StudyCarson Lam, Chak Foon Tso, Abigail Green-Saxena, et al.
BMC Medical Informatics and Decision Making|October 28, 2020
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
BMJ Health & Care Informatics|May 2, 2020
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitalsHoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Computers in Biology and Medicine|August 18, 2020
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Health Informatics Journal|December 31, 2019
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality predictionHamid Mohamadlou, Saarang Panchavati, Jacob Calvert, et al.
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