Erythemato-Squamous Diseases Prediction and Interpretation Using Explainable AI-Reference-Cited by-同舟云学术

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Erythemato-Squamous Diseases Prediction and Interpretation Using Explainable AI

Published:2022-09-11 Issue: Volume: Page:1-20
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Rathore Abhishek Singh¹,Arjaria Siddhartha Kumar²,Gupta Manish³,Chaubey Gyanendra²^ORCID,Mishra Amit Kumar⁴,Rajpoot Vikram⁵

Affiliation:

1. Department of CSE, SVIIT, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore 453111, India

2. Department of Information Technology, Rajkiya Engineering College, Banda, India

3. Department of Electronics and Communication Engineering, GLA University, Mathura, UP, India

4. Department of CSE, Amity University Madhya Pradesh, Gwalior, MP, India

5. Department of Information Technology, Madhav Institute of Technology & Science, Gwalior, MP, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2114953

Reference67 articles.

1. Analysis and Diagnosis of Erythemato-Squamous Diseases Using CHAID Decision Trees

2. Classification and Prediction of Erythemato-Squamous Diseases Through Tensor-Based Learning

3. An ensemble of classifiers for the diagnosis of erythemato-squamous diseases

4. A governance model for the application of AI in health care

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1. Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI;Scientific Reports;2024-04-11

2. Evaluation of Machine Learning Classifiers in Identifying Erythemato-Squamous Diseases;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Predicting the evolution of scientific communities by interpretable machine learning approaches;Journal of Informetrics;2023-05

4. Modelling of Wind Speed Data using Weibull Distribution Function in Dewas;2022 IEEE International Power and Renewable Energy Conference (IPRECON);2022-12-16

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