This paper is in the following e-collection/theme issue:

Medical imaging (78) Neurology and Neurosciences (244) Machine Learning (1844) Dementia and Cognitive Decline (620)

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 Khan1 Author Orcid Image ;   Swaleha Zubair1 Author Orcid Image
Article Authors Cited by (10) Tweetations (1) Metrics

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 2024;2678(6):473 View

Conference Proceedings

  1. Khan A, Zubair S. 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). A Machine Learning-based robust approach to identify Dementia progression employing Dimensionality Reduction in Cross-Sectional MRI data View
  2. Khan A, Zubair S. 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT). Expansion of Regularized Kmeans Discretization Machine Learning Approach in Prognosis of Dementia Progression View
  3. Khan A, Zubair S, Khan S. IEEE EUROCON 2021 - 19th International Conference on Smart Technologies. An Epidemiological-based Regression Analysis of Alzheimer’s disease and Mild Cognitive Impairment Converts in the Female Population View
  4. Turcan G, Peker S. 2023 18th Iberian Conference on Information Systems and Technologies (CISTI). Profiling Individuals with Dementia Using Cluster Analysis View
  5. Kwan F, Sulistyawan J, Nugroho K, Pardamean B. 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA). Alzheimer Features for Analysis: An Explainable Gradient Boosting Approach View