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Frontiers in Pediatrics|November 5, 2019
Pediatric Severe Sepsis Prediction Using Machine LearningSidney Le, Jana Hoffman, Christopher Barton, et al.
Computers in Biology and Medicine|April 30, 2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signsChristopher Barton, Uli Chettipally, Yifan Zhou, et al.
The American Journal of the Medical Sciences|January 26, 2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulationJenish Maharjan, Sidney Le, Abigail Green-Saxena, et al.
Clinical Imaging|August 23, 2021
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-raysJenish Maharjan, Jacob Calvert, Emily Pellegrini, et al.
The Journal of Chemical Physics|December 21, 2006
Thermodynamics of water octamer in a uniform electric fieldJavier Hernández-Rojas, Briesta S González, Tim James, et al.
Physical Chemistry Chemical Physics : PCCP|October 15, 2025
Vibrational energy landscapes and energy flow in GPCRs: comparison between class A and class B GPCRs using all atom and coarse-grained modelsHumanath Poudel, Pathick Halder Shaon, David J Wales, et al.
The Journal of Chemical Physics|October 9, 2020
Rare events and first passage time statistics from the energy landscapeThomas D Swinburne, Deepti Kannan, Daniel J Sharpe, et al.
JGH Open : an Open Access Journal of Gastroenterology and Hepatology|March 31, 2022
Machine learning to predict progression of non-alcoholic fatty liver to non-alcoholic steatohepatitis or fibrosisSina Ghandian, Rahul Thapa, Anurag Garikipati, et al.
ACS Nano|January 26, 2013
Designing a Bernal spiral from patchy colloidsJohn W R Morgan, Dwaipayan Chakrabarti, Nicolas Dorsaz, et al.
The Journal of Chemical Physics|December 31, 2020
Optimal dimensionality reduction of Markov chains using graph transformationDeepti Kannan, Daniel J Sharpe, Thomas D Swinburne, et al.
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