Improving the accuracy of medical diagnosis with causal machine learning

In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them, while existing diagnostic algorithms are purely associative. Here, the authors reformulate diagnosis as a counterfactual inference task and derive new counterfactual diagnostic algorithms.

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Bibliographic Details
Main Authors: Jonathan G. Richens, Ciarán M. Lee, Saurabh Johri
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
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Online Access:https://doaj.org/article/354f6c4524cb465f9ff459a9e2354e2a
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