2 citations · 3 across the 2 of their papers we have counts for
2 papers
q-bio.QM2023★ 2 cited
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…
cs.LG2022★ 1 cited
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data
Elise Dumas, Anne-Sophie Hamy, Sophie Houzard +10
While the emergence of large administrative claims data provides opportunities for research, their use remains limited by the lack of clinical annotations relevant to disease outco…