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
  6. Ding H, Lyu C, Karjadi C, Sunderaraman P, Young C, Mormino E, Low S, Devine S, Gifford K, Au R, Lin H. Association of the digital clock drawing test with amyloid and tau PET biomarkers in low age risk adults. Scientific Reports 2025;15(1) View