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machine learning
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Algorithm Selection for Estimating Causal Effects: An example using the Nulliparous Pr...
Machine learning for estimating and comparing clinical rules for treating diarrheal il...
Feasibility of Predicting Rare Adverse Outcomes of Pregnancy Using Machine Learning: ...
Large scale neuronal type classification using graph neural networks
Statistical Modeling of C-kit+ Progenitor Cell Extracellular Vesicles to Predict Clini...
Computational Development of Macrocyclic Drug Hits and Synthetic Strategy towards Pept...
FinTech Lending When Things Look Gloomy, Friend or Foe?
Generating Traces of Application Behavior Using Generative Adversarial Networks
Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven...
Machine Learning-based Prediction of the Three Drugs Combination Synergy
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Year
Spring 2021
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2017
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School
Laney Graduate School
13
Emory College
6
Rollins School of Public Health
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Computer Science and Informatics
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Epidemiology
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Computer Science
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Committee
Agichtein, Eugene, Emory University
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Joyce Ho, Emory University
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Lars Ruthotto, Emory University
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Liang Zhao, Emory University
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Phillip Wolff, Emory University
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machine learning
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PM2.5
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Super Learner
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artificial intelligence
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causal inference
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