Hoyt Burdick

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

Hoyt Burdick, Carson Lam, Samson Mataraso et al. · Computers in Biology and Medicine · 2020 · 154 citations · Full text

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 hospitals

Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau et al. · BMJ Health & Care Informatics · 2020 · 71 citations · Full text

A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients

Angier Allen, Anna Siefkas, Emily Pellegrini et al. · Applied Sciences · 2021 · 62 citations · Full text

Engineering, Machine Learning, Diagnosis +23

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

Angier Allen, Samson Mataraso, Anna Siefkas et al. · JMIR Public Health and Surveillance · 2020 · 52 citations · Full text

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 hospitals

Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau et al. · BMC Medical Informatics and Decision Making · 2020 · 38 citations · Full text