Dynamic Explainability in AI for Neurological Disorders: An Adaptive Model for Transparent Decision-Making in Alzheimer's Disease Diagnosis-Reference-Cited by-同舟云学术

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Dynamic Explainability in AI for Neurological Disorders: An Adaptive Model for Transparent Decision-Making in Alzheimer's Disease Diagnosis

Published:2024-04-06 Issue: Volume:14 Page:980-986
ISSN:
Container-title:2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Shukla Anushka¹,Upadhyay Shivanshu¹,Bachan Priya Rachel¹,Bera Udit Narayan²,Kshirsagar RV²,Nathani Neeta²

Affiliation:

1. CSE GGITS

2. ECE GGITS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10545643/10545610/10546177.pdf?arnumber=10546177

Reference21 articles.

1. What is Machine Learning and how does it work: The in-depth guide;Yasar;Tech Target,2023

2. How do you tell if a parent has Alzheimers disease?;Manor,2017

3. Alzheimers Dataset (4 types of images);Dubey,2020

4. Confusion Matrix in Machine Learning,2023

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