Article

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia

2024-03-14

Abstract excerpt

<h4>ABSTRACT</h4> <h4>INTRODUCTION</h4> Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. This study used machine learning to re-examine the diagnostic potential of clinical measures for dementia. <h4>METHODS</h4> Data was sourced from the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing (AIBL) and the Alzheime...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f37b140d-828e-5f0f-a3fb-b9e48c75d3c9
DOI: 10.1101/2024.03.12.24304189

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and AustraliaDOI 10.1101/2024.03.12.24304189Read

Integrative Machine Learning Approach to Risk Prediction for Dementia and Alzheimer’s DiseaseSemantic proximity Read

Imaging-genetics-based dementia risk prediction using deep survival neural networks in the Rotterdam StudySemantic proximity Read

Development of Alzheimer’s Disease Risk Score for Future Primary Care: A White-Box ApproachSemantic proximity Read

Machine learning models for dementia risk prediction: Evidence from the Sydney Memory and Ageing StudySemantic proximity Read

Standardized Comparison of Clinical, Cognitive, Genetic, Neuroimaging, and Fluid Biomarkers for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer’s DiseaseSemantic proximity Read

The Role of Genomic-Informed Risk Assessments in Predicting Dementia OutcomesSemantic proximity Read

Imaging-genetics-based dementia risk prediction using deep survival neural networks in the Rotterdam Study.Semantic proximity Read

Age- and sex-specific modifiable risk factor profiles of dementia: evidence from the UK BiobankSemantic proximity Read

Development and Validation of a Novel Dementia Risk Score in the UK Biobank CohortSemantic proximity Read

An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive AssessmentsSemantic proximity Read

Risk Score Stratification of Alzheimer’s Disease and Mild Cognitive Impairment using Deep LearningSemantic proximity Read

Genetic versus Modifiable Risk: Predicting Dementia, Cognition, and Brain Structure in the UK BiobankSemantic proximity Read