Confound-leakage: confound removal in machine learning leads to leakage
… Using a simple framework that uses the target as a confound, … due to confound-leakage
and not due to revealing of information. We then demonstrate the danger of confound-leakage in …
and not due to revealing of information. We then demonstrate the danger of confound-leakage in …
[PDF][PDF] Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
KR Patil, HP Thema, SB Eickhoff… - scienceopen.com
… Using a simple framework that uses the target as a confound, … due to confound-leakage
and not due to revealing of information. We then demonstrate the danger of confound-leakage in …
and not due to revealing of information. We then demonstrate the danger of confound-leakage in …
[HTML][HTML] The effects of data leakage on connectome-based machine learning models
… -leaky pipelines and found that different analysis choices led … predictive power after removing
feature selection leakage. The … For example, regressing the covariates/confounds out of the …
feature selection leakage. The … For example, regressing the covariates/confounds out of the …
Data leakage inflates prediction performance in connectome-based machine learning models
… -leaky pipelines and found that different analysis choices led … predictive power after removing
feature selection leakage. The … For example, regressing the covariates/confounds out of the …
feature selection leakage. The … For example, regressing the covariates/confounds out of the …
On Leakage in Machine Learning Pipelines
… Feature-wise confound removal by means of linear … the confounds have a strong correlation
with the target and when the number of features increase. Confound leakage can lead to …
with the target and when the number of features increase. Confound leakage can lead to …
Pitfalls in using ML to predict cognitive function performance
G Kuhles, S Hamdan, S Heim, S Eickhoff… - Research …, 2024 - pmc.ncbi.nlm.nih.gov
… to uncovering more insight into a pitfall in ML analysis arising due to confound leakage. As …
Confound-leakage: confound removal in machine learning leads to leakage. GigaScience 12, …
Confound-leakage: confound removal in machine learning leads to leakage. GigaScience 12, …
Correct deconfounding enables causal machine learning for precision medicine and beyond
… post-hoc confounder treatment, confounding still leads to - or … Following common practice
of confounder removal, a second … would bias the model by leaking 303 information from the …
of confounder removal, a second … would bias the model by leaking 303 information from the …
A framework for confounder considerations in AI-driven precision medicine
… with varying confound removal scenarios, neuroimaging derived features and machine learning
… Overlooking confounders or insufficient removal of their signal contributions can lead to …
… Overlooking confounders or insufficient removal of their signal contributions can lead to …
[HTML][HTML] Prognostic enrichment for early-stage Huntington's disease: An explainable machine learning approach for clinical trial
… Ventricular expansion due to normal aging is inevitable and may confound the estimations,
… that conventional approaches to confound removal may lead to unintended leakage of data …
… that conventional approaches to confound removal may lead to unintended leakage of data …
Combining Causal Discovery and Machine Learning for Modeling Data Center Operations
… Based on our experimental results, we strongly believe that causal machine learning can be
… Confound-leakage: confound removal in machine learning leads to leakage. GigaScience …
… Confound-leakage: confound removal in machine learning leads to leakage. GigaScience …