Published on in Vol 5, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14389, first published .
Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis

Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis

Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis

Authors of this article:

Afreen Khan 1 Author Orcid Image ;   Swaleha Zubair 1 Author Orcid Image

Journals

  1. Khan A, Zubair S. An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s disease. Journal of King Saud University - Computer and Information Sciences 2022;34(6):2688 View
  2. Zhang F, Petersen M, Johnson L, Hall J, O’Bryant S. Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer’s Disease With High Performance Computing. Frontiers in Artificial Intelligence 2021;4 View
  3. Khan A, Zubair S, Khan S. A Comprehensive Performance Analysis of Neurodegenerative diseases Incidence based on Epidemiological Study in the Female subjects over varied data. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 2021;10(2) View
  4. Kim S, Park J, Choi H, Loeser M, Ryu H, Seo K. Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study. Journal of Medical Internet Research 2023;25:e48093 View
  5. Almasi S, Bakhshi Lomer A, Khaksar H, Lotfata A. Using Spatial Modeling for Identifying Determinants Influencing Crash Estimate: Case Study of Hamedan, Iran. Transportation Research Record: Journal of the Transportation Research Board 2023 View