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

Mobile Devices and Apps for Seniors and Healthy Aging (280) Memory (49) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1151) Artificial Intelligence (2249)

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 (1) Tweetations Metrics

Journals

  1. Kakraba S, Agyemang E, Shmookler Reis R. Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. JMIR AI 2026;5:e81552 View