The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs)

Linying Zhang
Linying Zhang
Anna Ostropolets
Anna Ostropolets
Jami J. Mulgrave
Jami J. Mulgrave

arXiv: Machine Learning, pp. 490-512, 2019.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Causal estimation of treatment effect has an important role in guiding physiciansu0027 decision process for drug prescription. While treatment effect is classically assessed with randomized controlled trials (RCTs), the availability of electronic health records (EHRs) bring an unprecedented opportunity for more efficient estimation. Howev...More

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