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

Mobile Devices and Apps for Seniors and Healthy Aging (274) Memory (49) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1144) Artificial Intelligence (2168)

Published on in Vol 8 (2025)

This is a member publication of Tulane University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70272, first published .
Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Artificial Intelligence–Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics

Authors of this article:

Han Wenzheng1 Author Orcid Image ;   Edmund F Agyemang1 Author Orcid Image ;   Sudesh K Srivastav1 Author Orcid Image ;   Jeffrey G Shaffer1 Author Orcid Image ;   Samuel Kakraba1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Han Wenzheng   1 * , MS ;   Edmund F Agyemang   1 * , MS ;   Sudesh K Srivastav   1 , PhD ;   Jeffrey G Shaffer   1 , PhD ;   Samuel Kakraba   1, 2 * , PhD

1 Department of Biostatistics and Data Science, Celia Scott Weatherhead School of Public Health and Tropical Medicine at Tulane University, New Orleans, LA, United States

2 Tulane Center for Aging, School of Medicine, Tulane University, New Orleans, LA, United States

*these authors contributed equally

Corresponding Author:

  • Samuel Kakraba, PhD
  • Department of Biostatistics and Data Science
  • Celia Scott Weatherhead School of Public Health and Tropical Medicine at Tulane University
  • 1440 Canal St
  • New Orleans, LA 70112
  • United States
  • Phone: 1 5049882475
  • Email: skakraba@tulane.edu