Explainability Analysis of Black Box SVM models for Hepatic Steatosis Screening

Author:

Deo Ridhi1,Panigrahi Suranjan2

Affiliation:

1. Purdue University,Supported by the Ross Fellowship

2. School of Engineering Technology at Purdue University,West Lafayette,IN,USA,47907

Publisher

IEEE

Reference13 articles.

1. NAFLD as a Sexual Dimorphic Disease: Role of Gender and Reproductive Status in the Development and Progression of Nonalcoholic Fatty Liver Disease and Inherent Cardiovascular Risk

2. Women Have a Lower Risk of Nonalcoholic Fatty Liver Disease but a Higher Risk of Progression Vs Men: A Systematic Review and Meta-analysis;balakrishnan;Clin Gastroenterol Hepatol,2020

3. Compute partial dependence - MATLAB partialDependence,0

4. Classify observations using support vector machine (SVM) classifier - MATLAB predict,0

5. Liver fibrosis in non-alcoholic fatty liver disease - diagnostic challenge with prognostic significance

Cited by 2 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. The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review;Computers in Biology and Medicine;2023-11

2. Interpretability Vs Explainability: The Black Box of Machine Learning;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

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