[HTML][HTML] Scalable causal structure learning: Scoping review of traditional and deep learning algorithms and new opportunities in biomedicine
Background: Causal structure learning refers to a process of identifying causal structures
from observational data, and it can have multiple applications in biomedicine and health …
from observational data, and it can have multiple applications in biomedicine and health …
Counterfactual analysis of differential comorbidity risk factors in Alzheimer's disease and related dementias
Alzheimer's disease and related dementias (ADRD) is a multifactorial disease that involves
several different etiologic mechanisms with various comorbidities. There is also significant …
several different etiologic mechanisms with various comorbidities. There is also significant …
BALANCE: Bayesian Linear Attribution for Root Cause Localization
Root Cause Analysis (RCA) plays an indispensable role in distributed data system
maintenance and operations, as it bridges the gap between fault detection and system …
maintenance and operations, as it bridges the gap between fault detection and system …
Parallel execution of causal structure learning on graphics processing units
C Hagedorn - 2023 - publishup.uni-potsdam.de
Learning the causal structures from observational data is an omnipresent challenge in data
science. The amount of observational data available to Causal Structure Learning (CSL) …
science. The amount of observational data available to Causal Structure Learning (CSL) …