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

SMART-Pred offers noninvasive, cost-effective, and efficient AD prediction, demonstrating the transformative potential of AI in health care. While clinical validation is necessary to confirm the practical applicability of the identified key variables, the findings of this study contribute to the growing body of research on AI-assisted AD diagnosis and may lead to improved patient outcomes through early detection and intervention.

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Publication Details

Journal
JMIR Aging
Published
2025-11-05
DOI
https://doi.org/10.2196/70272
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94

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article

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

Wenzheng Han, Jeffrey G. Shaffer, Sudesh Srivastav, Samuel Kakraba et al.
1 citations
JMIR Aging
Artificial Intelligence in Healthcare
2.94
article

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

Wenzheng Han, Jeffrey G. Shaffer, Sudesh Srivastav, Samuel Kakraba, Edmund Fosu Agyemang
article en
1 citations

Abstract

SMART-Pred offers noninvasive, cost-effective, and efficient AD prediction, demonstrating the transformative potential of AI in health care. While clinical validation is necessary to confirm the practical applicability of the identified key variables, the findings of this study contribute to the growing body of research on AI-assisted AD diagnosis and may lead to improved patient outcomes through early detection and intervention.

JMIR AgingVol. 8
Tulane University (US)
Tulane University, Strong
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare
2.94
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