A Machine Learning Approach for Identifying Anatomical Biomarkers of
Early Mild Cognitive Impairment

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A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment

29 May 2024

Alwani Liyana Ahmad

Jose Sanchez-Bornot

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Papers citing "A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment"

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Title
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery Pavan Rajkumar Magesh Richard Delwin Myloth Rijo Jackson Tom FAtt 37 192 0 01 Aug 2020
Oversampling for Imbalanced Learning Based on K-Means and SMOTE F. Last G. Douzas F. Bação 52 752 0 02 Nov 2017
Cross-validation failure: small sample sizes lead to large error bars Gaël Varoquaux 53 525 0 23 Jun 2017
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines Gaël Varoquaux Pradeep Reddy Raamana Denis A. Engemann Andrés Hoyos-Idrobo Y. Schwartz Bertrand Thirion 34 640 0 16 Jun 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 373 25,646 0 09 Jun 2011