Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study

Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study

Abstract Background We developed multifactorial models for predicting incident dementia and brain pathology in the oldest old using the Vantaa 85+ cohort. Methods We included participants without dementia at baseline and at least 2 years of follow-up (N = 245) for dementia prediction or with autopsy...

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Bibliographic Details
Main Authors: Anette Hall, Timo Pekkala, Tuomo Polvikoski, Mark van Gils, Miia Kivipelto, Jyrki Lötjönen, Jussi Mattila, Mia Kero, Liisa Myllykangas, Mira Mäkelä, Minna Oinas, Anders Paetau, Hilkka Soininen, Maarit Tanskanen, Alina Solomon
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Alzheimer’s Research & Therapy
Subjects:
Dementia
Neuropathology
Oldest old
Prediction
Supervised machine learning
Online Access:http://link.springer.com/article/10.1186/s13195-018-0450-3

Internet

http://link.springer.com/article/10.1186/s13195-018-0450-3

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