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Author

Nacim Betrouni

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#graph neural networks Open access Sep 2026

Longitudinal Artificial Intelligence for Parkinson’s Disease: Modern Modelling, Feature Selection, and Imputation – A Technical Review and Clinical Roadmap

Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...

Moad Hani, Nacim Betrouni, Saïd Mahmoudi et al. · 0 citations
#graph neural networks Open access Sep 2026

Longitudinal Artificial Intelligence for Parkinson’s Disease: Modern Modelling, Feature Selection, and Imputation – A Technical Review and Clinical Roadmap

Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...

Moad Hani, Nacim Betrouni, Saïd Mahmoudi et al. · 0 citations
#graph neural networks Open access Sep 2026

Longitudinal Artificial Intelligence for Parkinson’s Disease: Modern Modelling, Feature Selection, and Imputation – A Technical Review and Clinical Roadmap - Supplementary Material

Parkinson’s disease (PD) research has been reshaped by large-scale multi-modal longitudinal datasets and advances in artificial intelligence (AI) and machine learning (ML). This review synthesises the current state of longitudinal modelling, feature selection, and missing-data imputation for PD, drawing on 154 studies...

Moad Hani, Nacim Betrouni, Saïd Mahmoudi et al. · 0 citations

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