A model of healthy aging based on smartphone interactions reveals advanced behavioral age in neurological disease-Reference-Cited by-同舟云学术

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A model of healthy aging based on smartphone interactions reveals advanced behavioral age in neurological disease

Published:2022-08 Issue:8 Volume:25 Page:104792
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Ceolini Enea,Brunner Iris,Bunschoten Johanna,Majoie Marian H.J.M.,Thijs Roland D.,Ghosh Arko^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference27 articles.

1. Machine learning for brain age prediction: introduction to methods and clinical applications;Baecker;EBioMedicine,2021

2. The details of past actions on a smartphone touchscreen are reflected by intrinsic sensorimotor dynamics;Balerna;NPJ Digit. Med.,2018

3. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm;Belsky;Elife,2020

4. Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions;Borger;NPJ Digit. Med.,2019

5. Random forests;Breiman;Mach. Learn.,2001

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1. Real‐world smartphone data can trace the behavioural impact of epilepsy: A case study;European Journal of Neurology;2024-08-07

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3. Age-related behavioral resilience in smartphone touchscreen interaction dynamics;Proceedings of the National Academy of Sciences;2024-06-11

4. Age-related behavioral resilience in smartphone touchscreen interaction dynamics;2024-03-05

5. Real-world smartphone data can trace the behavioural impact of epilepsy: A Case study;2024-01-03

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