A Machine Learning Approach for Predicting Lung Metastases and Three-Month Prognostic Factors in Hepatocellular Carcinoma Patients Using SEER Data-Reference-Cited by-同舟云学术

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A Machine Learning Approach for Predicting Lung Metastases and Three-Month Prognostic Factors in Hepatocellular Carcinoma Patients Using SEER Data

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Symposium on Computers and Communications (ISCC)
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Author:

Alkhawaldeh Ibraheem M.¹,Altarawneh Ghada²,Al-Jafari Mohammad¹,Abdelgalil Mahmoud S.³,Tarawneh Ahmad S.⁴,Hassanat Ahmad⁵

Affiliation:

1. Mutah University,Faculty of Medicine,Karak,Jordan

2. Mutah University,Accounting department,Karak,Jordan

3. Ain Shams University,Faculty of Medicine,Cairo,Egypt

4. University of Petra,Department of DS and AI,Amman,Jordan

5. Mutah University,Faculty of Information Technology,Karak,Jordan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217219/10217829/10217898.pdf?arnumber=10217898

Reference17 articles.

1. Permutation importance: a corrected feature importance measure

2. Exploratory under-sampling for class-imbalance learning;liu;IEEE Trans Syst Man Cybern Part B Cybern,2009

3. Furthest-Pair-Based Decision Trees: Experimental Results on Big Data Classification

4. Magnetic Force Classifier: A Novel Method for Big Data Classification

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