Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study

por Tso, Chak Foon, Garikipati, Anurag, Green-Saxena, Abigail, Mao, Qingqing, Das, Ritankar
Publicado 2021

Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus

por Allen, Angier, Iqbal, Zohora, Green-Saxena, Abigail, Hurtado, Myrna, Hoffman, Jana, Mao, Qingqing, Das, Ritankar
Publicado 2022

Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis

por Ghandian, Sina, Thapa, Rahul, Garikipati, Anurag, Barnes, Gina, Green‐Saxena, Abigail, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Publicado 2022

Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays

por Maharjan, Jenish, Calvert, Jacob, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, McCoy, Andrea, Mao, Qingqing, Das, Ritankar
Publicado 2021

A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients

por Ryan, Logan, Mataraso, Samson, Siefkas, Anna, Pellegrini, Emily, Barnes, Gina, Green-Saxena, Abigail, Hoffman, Jana, Calvert, Jacob, Das, Ritankar
Publicado 2021

Predicting ventilator-associated pneumonia with machine learning

por Giang, Christine, Calvert, Jacob, Rahmani, Keyvan, Barnes, Gina, Siefkas, Anna, Green-Saxena, Abigail, Hoffman, Jana, Mao, Qingqing, Das, Ritankar
Publicado 2021

Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach

por Lam, Carson, Calvert, Jacob, Siefkas, Anna, Barnes, Gina, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Mao, Qingqing, Das, Ritankar
Publicado 2021

Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

por Maharjan, Jenish, Ektefaie, Yasha, Ryan, Logan, Mataraso, Samson, Barnes, Gina, Shokouhi, Sepideh, Green-Saxena, Abigail, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Publicado 2022

Global Molecular Analyses of Methane Metabolism in Methanotrophic Alphaproteobacterium, Methylosinus trichosporium OB3b. Part II. Metabolomics and 13C-Labeling Study

por Yang, Song, Matsen, Janet B., Konopka, Michael, Green-Saxena, Abigail, Clubb, Justin, Sadilek, Martin, Orphan, Victoria J., Beck, David, Kalyuzhnaya, Marina G.
Publicado 2013

Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study

por Ryan, Logan, Lam, Carson, Mataraso, Samson, Allen, Angier, Green-Saxena, Abigail, Pellegrini, Emily, Hoffman, Jana, Barton, Christopher, McCoy, Andrea, Das, Ritankar
Publicado 2020

Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction

por Le, Sidney, Allen, Angier, Calvert, Jacob, Palevsky, Paul M., Braden, Gregory, Patel, Sharad, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Publicado 2021

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study

por Lam, Carson, Tso, Chak Foon, Green-Saxena, Abigail, Pellegrini, Emily, Iqbal, Zohora, Evans, Daniel, Hoffman, Jana, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Publicado 2021

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...

por Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise, Gu, Carol, Roberts, Jonathan, Le, Sidney, Slote, Joseph, Saber, Nicholas, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Publicado 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...

por Burdick, Hoyt, Pino, Eduardo, Gabel-Comeau, Denise, McCoy, Andrea, Gu, Carol, Roberts, Jonathan, Le, Sidney, Slote, Joseph, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, Das, Ritankar
Publicado 2020

A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study

por Allen, Angier, Mataraso, Samson, Siefkas, Anna, Burdick, Hoyt, Braden, Gregory, Dellinger, R Phillip, McCoy, Andrea, Pellegrini, Emily, Hoffman, Jana, Green-Saxena, Abigail, Barnes, Gina, Calvert, Jacob, Das, Ritankar
Publicado 2020

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

por Burdick, Hoyt, Lam, Carson, Mataraso, Samson, Siefkas, Anna, Braden, Gregory, Dellinger, R. Phillip, McCoy, Andrea, Vincent, Jean-Louis, Green-Saxena, Abigail, Barnes, Gina, Hoffman, Jana, Calvert, Jacob, Pellegrini, Emily, Das, Ritankar
Publicado 2020

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial

por Burdick, Hoyt, Lam, Carson, Mataraso, Samson, Siefkas, Anna, Braden, Gregory, Dellinger, R. Phillip, McCoy, Andrea, Vincent, Jean-Louis, Green-Saxena, Abigail, Barnes, Gina, Hoffman, Jana, Calvert, Jacob, Pellegrini, Emily, Das, Ritankar
Publicado 2020