Explainable Artificial Intelligence (EXAI) Models for Early Prediction of Parkinson’s Disease Based on Spiral and Wave Drawings

Author:

Saravanan S.1,Ramkumar Kannan1ORCID,Narasimhan K.1ORCID,Vairavasundaram Subramaniyaswamy2ORCID,Kotecha Ketan3ORCID,Abraham Ajith4ORCID

Affiliation:

1. School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, India

2. School of Computing, SASTRA Deemed University, Thanjavur, India

3. Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, India

4. School of Computer Science Engineering & Technology, Bennett University, Greater Noida, Uttar Pradesh, India

Funder

Analytical Center for the Government of the Russian Federation, in November 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Action tremor features discovery for essential tremor and Parkinson's disease with explainable multilayer BiLSTM;Computers in Biology and Medicine;2024-09

2. A comprehensive review of explainable AI for disease diagnosis;Array;2024-07

3. Enhancing Interpretability, Reliability and Trustworthiness: Applications of Explainable Artificial Intelligence in Medical Imaging, Financial Markets, and Sentiment Analysis;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

4. Explainable Artificial Intelligence based ML Models for Heart Disease Prediction;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14

5. Parkinson's Disease Severity Assessment: A Comparative Study & Interpretability Analysis;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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