Abigail Green-Saxena

7PUBLICATIONS
19CO-AUTHORS
Nanofabrication, growth and self assemblyEpidemiological modellingDeep learningComputational complexity and computabilityMajor global burdens of disease
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Publications (7)

|Mar 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosis.

Sina Ghandian, Rahul Thapa, Anurag Garikipati

|Jan 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus.

Angier Allen, Zohora Iqbal, Abigail Green-Saxena

|Aug 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.

Carson Lam, Chak Foon Tso, Abigail Green-Saxena

|May 17, 2021
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study.

Chak Foon Tso, Anurag Garikipati, Abigail Green-Saxena

|Oct 28, 2020
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

|Oct 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.

Angier Allen, Samson Mataraso, Anna Siefkas

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Frequent Collaborators

4 joint publications

Ritankar Das

3 joint publications

Qingqing Mao

3 joint publications

Jana Hoffman

2 joint publications

Angier Allen