Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study

Author:

Ferrari Elisa,Bosco Paolo,Calderoni Sara,Oliva Piernicola,Palumbo Letizia,Spera Giovanna,Fantacci Maria Evelina,Retico Alessandra

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference63 articles.

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2. Using permutations to detect, quantify and correct for confounding in machine learning predictions;Chaibub Neto,2018

3. Measuring the effects of confounders in medical supervised classification problems: the confounding index (CI);Ferrari,2019

4. Influence of the applied outlier detection methods on the quality of classification;Moska;International conference on man-machine interactions,2019

5. Causal inference in statistics: an overview;Pearl;Stat Surv,2009

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