Machine learning landscapes and predictions for patient outcomes

by Ritankar Das, David J. Wales
Published 2017-01-01

Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients

by Jacob Calvert, Nicholas Saber, Jana Hoffman, Ritankar Das
Published 2019-02-01

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

by Angier Allen, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, Ritankar Das
Published 2021-06-01

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

by Hamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton, Uli Chettipally, Lisa Shieh, Jacob Calvert, Nicholas R. Saber, Ritankar Das
Published 2018-06-01

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

by Ashwath Radhachandran, Anurag Garikipati, Nicole S. Zelin, Emily Pellegrini, Sina Ghandian, Jacob Calvert, Jana Hoffman, Qingqing Mao, Ritankar Das
Published 2021-03-01

Pediatric Severe Sepsis Prediction Using Machine Learning

by Sidney Le, Jana Hoffman, Christopher Barton, Christopher Barton, Julie C. Fitzgerald, Julie C. Fitzgerald, Angier Allen, Emily Pellegrini, Jacob Calvert, Ritankar Das
Published 2019-10-01

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

COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients.

by Mark Stewart, Carla Rodriguez-Watson, Adem Albayrak, Julius Asubonteng, Andrew Belli, Thomas Brown, Kelly Cho, Ritankar Das, Elizabeth Eldridge, Nicolle Gatto, Alice Gelman, Hanna Gerlovin, Stuart L Goldberg, Eric Hansen, Jonathan Hirsch, Yuk-Lam Ho, Andrew Ip, Monika Izano, Jason Jones, Amy C Justice, Reyna Klesh, Seth Kuranz, Carson Lam, Qingqing Mao, Samson Mataraso, Robertino Mera, Daniel C Posner, Jeremy A Rassen, Anna Siefkas, Andrew Schrag, Georgia Tourassi, Andrew Weckstein, Frank Wolf, Amar Bhat, Susan Winckler, Ellen V Sigal, Jeff Allen
Published 2021-01-01