Step-by-step causal analysis of EHRs to ground decision-making.
Causal inference enables machine learning methods to estimate treatment effects of medical interventions from electronic health records (EHRs). The prevalence of such observational data and the difficulty for randomized controlled trials (RCT) to cover all population/treatment relationships make the...
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Main Authors: | Matthieu Doutreligne, Tristan Struja, Judith Abecassis, Claire Morgand, Leo Anthony Celi, Gaël Varoquaux |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-02-01
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Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000721 |
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