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Jenna Wiens

Showing results (41-50 of 83) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 10, 2019
Automatically Evaluating Balance: A Machine Learning ApproachTian Bao, Brooke N Klatt, Susan L Whitney, et al.
Journal of the American Medical Informatics Association : JAMIA|October 11, 2020
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical dataShengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.
IEEE Transactions on Bio-Medical Engineering|July 11, 2024
Shortcomings in the Evaluation of Blood Glucose ForecastingJung Min Lee, Rodica Pop-Busui, Joyce M Lee, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|November 21, 2018
Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkersDevendra Goyal, Donna Tjandra, Raymond Q Migrino, et al.
Open Forum Infectious Diseases|March 4, 2015
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficileJenna Wiens, Wayne N Campbell, Ella S Franklin, et al.
Communications Biology|June 10, 2022
AMAISE: a machine learning approach to index-free sequence enrichmentMeera Krishnamoorthy, Piyush Ranjan, John R Erb-Downward, et al.
Open Forum Infectious Diseases|February 27, 2018
Potential Adverse Effects of Broad-Spectrum Antimicrobial Exposure in the Intensive Care UnitJenna Wiens, Graham M Snyder, Samuel Finlayson, et al.
Mbio|June 11, 2020
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification ProblemsBegüm D Topçuoğlu, Nicholas A Lesniak, Mack T Ruffin, et al.
Plos One|February 15, 2022
Augmenting existing deterioration indices with chest radiographs to predict clinical deteriorationEmily Mu, Sarah Jabbour, Adrian V Dalca, et al.
JCO Clinical Cancer Informatics|February 22, 2020
Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health RecordsShengpu Tang, Grant T Chappell, Amanda Mazzoli, et al.
Pageof 9

Showing results (41-50 of 83) with videos related to

Sort By:
Pageof 9
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 10, 2019
Automatically Evaluating Balance: A Machine Learning ApproachTian Bao, Brooke N Klatt, Susan L Whitney, et al.
Journal of the American Medical Informatics Association : JAMIA|October 11, 2020
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical dataShengpu Tang, Parmida Davarmanesh, Yanmeng Song, et al.
IEEE Transactions on Bio-Medical Engineering|July 11, 2024
Shortcomings in the Evaluation of Blood Glucose ForecastingJung Min Lee, Rodica Pop-Busui, Joyce M Lee, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|November 21, 2018
Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkersDevendra Goyal, Donna Tjandra, Raymond Q Migrino, et al.
Open Forum Infectious Diseases|March 4, 2015
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficileJenna Wiens, Wayne N Campbell, Ella S Franklin, et al.
Communications Biology|June 10, 2022
AMAISE: a machine learning approach to index-free sequence enrichmentMeera Krishnamoorthy, Piyush Ranjan, John R Erb-Downward, et al.
Open Forum Infectious Diseases|February 27, 2018
Potential Adverse Effects of Broad-Spectrum Antimicrobial Exposure in the Intensive Care UnitJenna Wiens, Graham M Snyder, Samuel Finlayson, et al.
Mbio|June 11, 2020
A Framework for Effective Application of Machine Learning to Microbiome-Based Classification ProblemsBegüm D Topçuoğlu, Nicholas A Lesniak, Mack T Ruffin, et al.
Plos One|February 15, 2022
Augmenting existing deterioration indices with chest radiographs to predict clinical deteriorationEmily Mu, Sarah Jabbour, Adrian V Dalca, et al.
JCO Clinical Cancer Informatics|February 22, 2020
Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health RecordsShengpu Tang, Grant T Chappell, Amanda Mazzoli, et al.
Pageof 9