Explainable AI for early malaria detection using stacked-LSTM and attention mechanisms

Explainable AI for early malaria detection using stacked-LSTM and attention mechanisms

Malaria remains a global public health challenge, affecting more than 247 million people and causing 619,000 deaths worldwide in 2024 (according to WHO). Rapid diagnosis is essential for effective treatment and to improve patients’ chances of survival. In this study, we propose an interpretable deep...

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Bibliographic Details
Main Authors: Adil Gaouar, Souaad Hamza Cherif, Abdellatif Rahmoun, Mostafa El Habib Daho
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Malaria detection
Stacked-LSTM
Deep learning
Explainable AI
Grad-CAM
LIME
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914825000553
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http://www.sciencedirect.com/science/article/pii/S2352914825000553

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