Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.

ABSTRACT: Alzheimer's disease (AD) is a complex and severe neurodegenerative disease that still lacks effective methods of diagnosis. The current diagnostic methods of AD rely on cognitive tests, imaging techniques and cerebrospinal fluid (CSF) levels of amyloid-β1-42 (Aβ42), total tau protein and hyperphosphorylated tau (p-tau). However, the available methods are expensive and relatively invasive. Artificial intelligence techniques like machine learning tools have being increasingly used in precision diagnosis. We conducted a meta-analysis to investigate the machine learning and novel biomarkers for the diagnosis of AD. We searched PubMed, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Systematic Reviews for reviews and trials that investigated the machine learning

SUBMITTER: Chang CH 

PROVIDER: S-EPMC7963160 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature