Case Report: The Coronavirus Disease 2019 (COVID-19) Pneumonia With Multiple Thromboembolism

por Cao, Tingting, Zhang, Guqin, Xie, Huabing, Pellegrini, Emily, Li, Jin, Chen, Xiaoxing, Pan, Huaqin
Publicado 2021

Pediatric Severe Sepsis Prediction Using Machine Learning

por Le, Sidney, Hoffman, Jana, Barton, Christopher, Fitzgerald, Julie C., Allen, Angier, Pellegrini, Emily, Calvert, Jacob, Das, Ritankar
Publicado 2019

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data

por Radhachandran, Ashwath, Garikipati, Anurag, Zelin, Nicole S., Pellegrini, Emily, Ghandian, Sina, Calvert, Jacob, Hoffman, Jana, Mao, Qingqing, Das, Ritankar
Publicado 2021

COVID-19 and its effects on the digestive system

por Cao, Ting-Ting, Zhang, Gu-Qin, Pellegrini, Emily, Zhao, Qiu, Li, Jin, Luo, Lin-jie, Pan, Hua-Qin
Publicado 2021

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

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

Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

por Panchavati, Saarang, Lam, Carson, Zelin, Nicole S., Pellegrini, Emily, Barnes, Gina, Hoffman, Jana, Garikipati, Anurag, Calvert, Jacob, Mao, Qingqing, Das, Ritankar
Publicado 2021

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