Feature Selection and Dimensionality Reduction for Unbalanced Liver Disease Classification with Optimized Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Feature Selection and Dimensionality Reduction for Unbalanced Liver Disease Classification with Optimized Machine Learning Algorithms

Published:2023-12-16 Issue: Volume:8 Page:547-552
ISSN:
Container-title:2023 7th IEEE Congress on Information Science and Technology (CiSt)
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Author:

Aouragh Abd Allah¹,Bahaj Mohamed¹

Affiliation:

1. Hassan 1st University,MIET Laboratory Faculty of Sciences and Techniques,Settat,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10409867/10409868/10409967.pdf?arnumber=10409967

Reference25 articles.

1. The most common liver diseases-The Liver Institute at Methodist Dallas;The Liver Institute ~ Methodist Dallas,2023

2. Burden of liver diseases in the world

3. Digital transformation in healthcare: Analyzing the current state-of-research

4. Medical Diagnosis Using Machine Learning: A Statistical Review

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