Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients

Marcel da Câmara Ribeiro-Dantas, Honghao Li, Vincent Cabeli +5

Discovering causal effects is at the core of scientific investigation but remains challenging when only observational data is available. In practice, causal networks are difficult…