Machine Learning-optimized Feature Selection for Enhanced Accuracy in Early Prediction of Alzheimer’s Disease and Mild Cognitive Impairment Using Markerless Gait Analysis: A Pilot Study (P4-12.015)

Rhea Doshi; Ashkan Novin; Roshni Patel

doi:10.1212/wnl.0000000000217034

June 9, 2026Neurology

Machine Learning-optimized Feature Selection for Enhanced Accuracy in Early Prediction of Alzheimer’s Disease and Mild Cognitive Impairment Using Markerless Gait Analysis: A Pilot Study (P4-12.015)

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Key Points

This pilot study aims to improve prediction accuracy for early diagnosis of Alzheimer's disease and mild cognitive impairment using machine learning techniques applied to gait analysis.
Optimized feature selection for machine learning models.
Refined ensemble architecture to combine multiple algorithms for better accuracy.
Utilized markerless gait analysis for data collection.
Significantly improved prediction accuracy compared to traditional methods.
Demonstrated potential in early detection, highlighting the relevance of gait analysis as a diagnostic tool.

Implication

Pilot study demonstrates enhanced prediction accuracy for Alzheimer’s and mild cognitive impairment via gait analysis, suggesting potential diagnostic improvements.

Abstract

To optimize machine learning feature selection and refine ensemble architecture to increase prediction accuracy for early prediction of Alzheimer’s disease and mild cognitive impairment using markerless gait analysis.

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Cite This Study

Doshi et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf3d6faef96ed7f05643c https://doi.org/10.1212/wnl.0000000000217034

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Machine Learning-optimized Feature Selection for Enhanced Accuracy in Early Prediction of Alzheimer’s Disease and Mild Cognitive Impairment Using Markerless Gait Analysis: A Pilot Study (P4-12.015)

Key Points

Implication

Abstract

Discussion

Cite This Study

Machine Learning-optimized Feature Selection for Enhanced Accuracy in Early Prediction of Alzheimer’s Disease and Mild Cognitive Impairment Using Markerless Gait Analysis: A Pilot Study (P4-12.015)

Key Points

Implication

Abstract

Discussion

Cite This Study

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