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...

by Jonathan Roberts, Andrea Mccoy, Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Sidney Le, Joseph Slote, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das
Published 2020-07-01

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...

by Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das
Published 2020-10-01

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

by Logan Ryan BS, Samson Mataraso BS, Anna Siefkas SM, Emily Pellegrini MEng, Gina Barnes MPH, Abigail Green-Saxena PhD, Jana Hoffman PhD, Jacob Calvert MSc, Ritankar Das MSc
Published 2021-02-01

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

by Hoyt Burdick, Carson Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, R. Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana Hoffman, Jacob Calvert, Emily Pellegrini, Ritankar Das
Published 2020-11-01