1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
Thomas A. Lasko, John M. Still, Thomas Z. Li +5
Insufficiently precise diagnosis of clinical disease is likely responsible for many treatment failures, even for common conditions and treatments. With a large enough dataset, it m…
cs.AI2023★ 1 cited
Counterfactual Formulation of Patient-Specific Root Causes of Disease
Eric V. Strobl
Root causes of disease intuitively correspond to root vertices that increase the likelihood of a diagnosis. This description of a root cause nevertheless lacks the rigorous mathema…
q-bio.QM2014
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data
Eric V. Strobl, Shyam Visweswaran
Motivation: Algorithms that discover variables which are causally related to a target may inform the design of experiments. With observational gene expression data, many methods di…