Comorbidity Diseases Diagnosis Using Machine Learning Methods and Chi-Square Feature Selection Technique-Reference-Cited by-同舟云学术

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Comorbidity Diseases Diagnosis Using Machine Learning Methods and Chi-Square Feature Selection Technique

Published:2023-12-18 Issue: Volume: Page:144-149
ISSN:
Container-title:2023 16th International Conference on Developments in eSystems Engineering (DeSE)
language:
Short-container-title:

Author:

Mukhlif Dheyauldeen M.¹,Abd Dhafar Hamed²,Ejbali Ridha³,Alimi Adel M.⁴

Affiliation:

1. University of Sfax,National Engineering School of Sfax (ENIS),Sfax,Tunisia

2. University of Anbar,College of Computer Science and Information Technology,Ramadi,Iraq

3. University of Gabes,Research Team in Intelligent Machines (RTIM),Gabes,Tunisia

4. University of Sfax,Research Groups in Intelligent Machines, National Engineering School of Sfax (ENIS),Sfax,Tunisia

Funder

Ministry of Higher Education and Scientific Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468572/10468673/10469092.pdf?arnumber=10469092

Reference18 articles.

1. Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review

2. The utilisation of machine learning approaches for medical data classification and personal care system mangementfor sickle cell disease

3. An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets

4. Sentiment Analysis of Political Post Classification Based on XGBoost

5. Recurrent Neural Network Architectures for Analysing Biomedical Data Sets

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