Abigail Green-Saxena
California Institute of Technology
H-index: 21
North America-United States
Top articles of Abigail Green-Saxena
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation | The American Journal of the Medical Sciences | Jenish Maharjan Sidney Le Abigail Green-Saxena Manan Khattar Jacob Calvert | 2022/7/1 |
Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis | JGH Open | Sina Ghandian Rahul Thapa Anurag Garikipati Gina Barnes Abigail Green‐Saxena | 2022/3 |
Enriching the study population for ischemic stroke therapeutic trials using a machine learning algorithm | Frontiers in Neurology | Jenish Maharjan Yasha Ektefaie Logan Ryan Samson Mataraso Gina Barnes | 2022/1/25 |
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus | BMJ Open Diabetes Research and Care | Angier Allen Zohora Iqbal Abigail Green-Saxena Myrna Hurtado Jana Hoffman | 2022/1/1 |
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays | Clinical imaging | Jenish Maharjan Jacob Calvert Emily Pellegrini Abigail Green-Saxena Jana Hoffman | 2021/12/1 |
Machine Learning Algorithms to Identify Patients at Risk of Ventilator-Associated Pneumonia | J Calvert C Giang G Barnes A Siefkas A Green-Saxena | 2021/5 | |
Semisupervised deep learning techniques for predicting acute respiratory distress syndrome from time-series clinical data: Model development and validation study | JMIR formative research | Carson Lam Chak Foon Tso Abigail Green-Saxena Emily Pellegrini Zohora Iqbal | 2021/9/14 |
Convolutional neural network model for intensive care unit acute kidney injury prediction | Kidney international reports | Sidney Le Angier Allen Jacob Calvert Paul M Palevsky Gregory Braden | 2021/5/1 |
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach | Health policy and technology | Carson Lam Jacob Calvert Anna Siefkas Gina Barnes Emily Pellegrini | 2021/9/1 |
A machine learning approach to predict deep venous thrombosis among hospitalized patients | Clinical and Applied Thrombosis/Hemostasis | Logan Ryan Samson Mataraso Anna Siefkas Emily Pellegrini Gina Barnes | 2021/2/23 |
Predicting ventilator-associated pneumonia with machine learning | Medicine | Christine Giang Jacob Calvert Keyvan Rahmani Gina Barnes Anna Siefkas | 2021/6/11 |
An exploratory study on the correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics | medRxiv | Chak Foon Tso Anurag Garikipati Abigail Green-Saxena Qingqing Mao Ritankar Das | 2021/2/19 |
Correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics: exploratory observational study | JMIR public health and surveillance | Chak Foon Tso Anurag Garikipati Abigail Green-Saxena Qingqing Mao Ritankar Das | 2021/6/3 |
1069: Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using Machine Learning | Critical Care Medicine | Yasha Ektefaie Samson Mataraso Gina Barnes Anna Lynn-Palevsky Emily Pellegrini | 2021/1/1 |
Sa102 A machine learning algorithm to predict gastrointestinal bleeding requiring intervention | Gastroenterology | Angier Allen Yasha Ektefaie Anurag Garikipati Carson Lam Abigail Green-Saxena | 2021/5/1 |
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 … | BMC medical informatics and decision making | Hoyt Burdick Eduardo Pino Denise Gabel-Comeau Carol Gu Jonathan Roberts | 2020/12 |
A racially unbiased, machine learning approach to prediction of mortality: algorithm development study | JMIR public health and surveillance | Angier Allen Samson Mataraso Anna Siefkas Hoyt Burdick Gregory Braden | 2020/10/22 |
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS) | Journal of Critical Care | Sidney Le Emily Pellegrini Abigail Green-Saxena Charlotte Summers Jana Hoffman | 2020/12/1 |
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial | Computers in biology and medicine | Hoyt Burdick Carson Lam Samson Mataraso Anna Siefkas Gregory Braden | 2020/9/1 |
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction | Health informatics journal | Hamid Mohamadlou Saarang Panchavati Jacob Calvert Anna Lynn-Palevsky Sidney Le | 2020/9 |
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