Mirella Russo, Davide Nardini, Sara Melchiorre, Consuelo Ciprietti, Gaetano Polito, Miriam Punzi, Fedele Dono, Matteo Santilli, Astrid Thomas, Stefano L. Sensi
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引用次数: 0
Abstract
Machine learning (ML) helps diagnose the mild cognitive impairment–Alzheimer's disease (MCI-AD) spectrum. However, ML is fed with data unavailable in standard clinical practice. Thus, we tested a novel multi-step ML approach to predict cognitive worsening.
期刊介绍：
Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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