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Article

Conditional Generative Adversarial Networks for Individualized Treatment Effect Estimation and Treatment Selection

2020-09-29

Abstract excerpt

Treatment response is heterogeneous. However the classical methods treat the treatment response as homogeneous and estimate the average treatment effects. The traditional methods are difficult to apply to precision oncology. The artificial intelligence (AI) is a powerful tool for precision oncology. It can accurately estimate the individualized treatment effects and learn optimal treatment choices. Therefore, the...

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Literature Corpus work
3a845b76-2e2c-5d6c-a82b-0a4bc805670d
DOI
10.1101/2020.09.28.20203075
Open publication

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Conditional Generative Adversarial Networks for Individualized Treatment Effect Estimation and Treatment SelectionDOI 10.1101/2020.09.28.20203075
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