2023
DOI: 10.1371/journal.pone.0294253
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Explainable AI-based Alzheimer’s prediction and management using multimodal data

Sobhana Jahan,
Kazi Abu Taher,
M. Shamim Kaiser
et al.

Abstract: Background According to the World Health Organization (WHO), dementia is the seventh leading reason of death among all illnesses and one of the leading causes of disability among the world’s elderly people. Day by day the number of Alzheimer’s patients is rising. Considering the increasing rate and the dangers, Alzheimer’s disease should be diagnosed carefully. Machine learning is a potential technique for Alzheimer’s diagnosis but general users do not trust machine learning models due to the black-box nature.… Show more

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Cited by 20 publications
(1 citation statement)
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“…The sample images in Figure 1 were used as the CNNs are described as black-box models and do not explain the reason for the classification decision [65]. This prevents interpretation of the results [66]. Since CNN-based state-of-the-art models were used in this study, the interpretability of the results could be improved.…”
Section: Resultsmentioning
confidence: 99%
“…The sample images in Figure 1 were used as the CNNs are described as black-box models and do not explain the reason for the classification decision [65]. This prevents interpretation of the results [66]. Since CNN-based state-of-the-art models were used in this study, the interpretability of the results could be improved.…”
Section: Resultsmentioning
confidence: 99%