Abigail Green-Saxena

Scopus Author ID Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 7

Top Topics

Acute Respiratory Distress Syndrome

Extracorporeal Membrane Oxygenation

Coronavirus Disease

Top Venues

JMIR public health and surveillance

BMJ health & care informatics

JGH open : an open access journal of gastroenterology and hepatology

BMJ open diabetes research & care

This page only lists publications with an associated author ORCID identifier.

Publications

Sina Ghandian, Rahul Thapa, Anurag Garikipati, Gina Barnes, Abigail Green-Saxena, Jacob Calvert, Qingqing Mao, Ritankar Das
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis. JGH open : an open access journal of gastroenterology and hepatology 6 (3) (2022)
Angier Allen, Zohora Iqbal, Abigail Green-Saxena, Myrna Hurtado, Jana L Hoffman, Qingqing Mao, Ritankar Das
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus. BMJ open diabetes research & care 10 (1) (2022)
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana L Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study. JMIR formative research 5 (9) (2021)
Chak Foon Tso, Anurag Garikipati, Abigail Green-Saxena, Qingqing Mao, Ritankar Das
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study. JMIR public health and surveillance 7 (6) (2021)
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
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. BMC medical informatics and decision making 20 (1) (2020)
Angier Allen, Samson J Mataraso, Anna C Siefkas, Hoyt Burdick, Gregory L Braden, R Phillip Dellinger, Andrea McCoy, Emily Pellegrini, Jana L Hoffman, Abigail Green-Saxena, Gina Barnes, Jacob Calvert, Ritankar Das
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study. JMIR public health and surveillance 6 (4) (2020)
Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Andrea McCoy, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman, Ritankar Das
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. BMJ health & care informatics 27 (1) (2020)