Estimation of non-alcoholic steatohepatitis (NASH) disease using clinical information based on the optimal combination of intelligent algorithms for feature selection and classification-Reference-Cited by-同舟云学术

Estimation of non-alcoholic steatohepatitis (NASH) disease using clinical information based on the optimal combination of intelligent algorithms for feature selection and classification

Published:2023-05-31 Issue: Volume: Page:1-16
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Zamanian Hamed¹,Shalbaf Ahmad¹

Affiliation:

1. Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2217978

Reference56 articles.

1. Nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): prevalence, therapeutic innovations, and stumbling blocks for clinical development

2. Machine Learning Technology for Evaluation of Liver Fibrosis, Inflammation Activity and Steatosis (LIVERFASt<sup>TM</sup>)

3. Prevalence of and risk factors for nonalcoholic fatty liver disease: The Dionysos nutrition and liver study

4. Non-invasive assessment of NAFLD as systemic disease—A machine learning perspective

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