ML4H Findings Track Collection: Machine Learning for Health (ML4H) 2023

A synthetic dataset for training a family of Reinforcement Learning (RL) methods to build explainable pathways for the differential diagnosis of anemia, as a primary use case.

Data and Resources

Cite this as

Lillian Muyama, Antoine Neuraz, Adrien Coulet (2024). Dataset: ML4H Findings Track Collection: Machine Learning for Health (ML4H) 2023. https://doi.org/10.57702/6ak8eo4y

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Lillian Muyama
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Antoine Neuraz
Adrien Coulet
Homepage https://github.com/lilly-muyama/anemia_diagnosis_pathways