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Improving the accuracy of medical diagnosis with causal machine learning

Medicine and Health

Improving the accuracy of medical diagnosis with causal machine learning

J. G. Richens, C. M. Lee, et al.

Discover groundbreaking research by Jonathan G. Richens, Ciarán M. Lee, and Saurabh Johri as they challenge the traditional associative methods in medical diagnosis. They unveil counterfactual diagnostic algorithms that not only outperform standard techniques but also achieve expert-level accuracy for rare diseases. Dive into the future of medical diagnostics!

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Playback language: English
Citation Metrics
Citations
470
Influential Citations
5
Reference Count
95
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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