Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15376, first published .
Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study

Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study

Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study

Journals

  1. Torromino G, Maggi A, De Leonibus E. Estrogen-dependent hippocampal wiring as a risk factor for age-related dementia in women. Progress in Neurobiology 2021;197:101895 View
  2. An N, Ding H, Yang J, Au R, Ang T. Deep ensemble learning for Alzheimer's disease classification. Journal of Biomedical Informatics 2020;105:103411 View
  3. Mahon E, Lachman M. Voice biomarkers as indicators of cognitive changes in middle and later adulthood. Neurobiology of Aging 2022;119:22 View
  4. Ding H, Mandapati A, Hamel A, Karjadi C, Ang T, Xia W, Au R, Lin H. Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study. Journal of Alzheimer's Disease 2023;96(1):277 View
  5. Ding H, Wang B, Hamel A, Karjadi C, Ang T, Au R, Lin H. Exploring cognitive progression subtypes in the Framingham Heart Study. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2024;16(1) View