Web Application for Deciphering Alzheimer’s Disease Prediction and Progression with Explanations

The AI-driven application emerges as a valuable tool in AD prediction and analysis. The transparent and interpretable nature of the model, facilitated by LIME and SHAP, enhances trust and understanding. Early detection and progression prediction capabilities allow healthcare professionals with timely interventions to care the patients.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.085960
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.35
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article

Web Application for Deciphering Alzheimer’s Disease Prediction and Progression with Explanations

Vinu Sherimon, Pishoy Gouda, Ben George Ephrem, Abraham Varghese
1 citations
Alzheimer s & Dementia
Machine Learning in Healthcare
0.35
article

Web Application for Deciphering Alzheimer’s Disease Prediction and Progression with Explanations

Vinu Sherimon, Pishoy Gouda, Ben George Ephrem, Abraham Varghese
article en
1 citations

Abstract

The AI-driven application emerges as a valuable tool in AD prediction and analysis. The transparent and interpretable nature of the model, facilitated by LIME and SHAP, enhances trust and understanding. Early detection and progression prediction capabilities allow healthcare professionals with timely interventions to care the patients.

Alzheimer s & DementiaVol. 20(S3)
Muscat College (OM)
Openalex Percentile: Top 30%
Machine Learning in Healthcare
0.35
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