Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN)

Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN)

Understanding causality is of crucial importance in biomedical sciences, where developing prediction models is insufficient because the models need to be actionable. However, data sources, such as electronic health records, are observational and often plagued with various types of biases, e.g. confo...

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Bibliographic Details
Main Authors: Shantanu Ghosh, Christina Boucher, Jiang Bian, Mattia Prosperi
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Causal AI
Causal inference
Deep learning
Biomedical informatics
Generative adversarial networks
Propensity score
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990021000197

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http://www.sciencedirect.com/science/article/pii/S2666990021000197

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