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Statistical and Machine Learning-Based Predictive Models for Gestational Diabetes Mellitus Prevention Cover

Statistical and Machine Learning-Based Predictive Models for Gestational Diabetes Mellitus Prevention

ARS Medica Tomitana
Volume 30 (2024): Issue 2 (May 2024)
By: Hanane Zermane and  Adel Kalla  
Open Access
|Aug 2024

Authors

Hanane Zermane

h.zermane@univ-batna2.dz

Laboratory of Automation and Manufacturing, Industrial Engineering Department, Batna 2 University, Batna, Algeria

Adel Kalla

Laboratory of Biotechnology of Bioactive Molecules and Cellular Pathophysiology, Microbiology and Biochemistry Department, Batna 2 University, Batna, Algeria
DOI: https://doi.org/10.2478/arsm-2024-0007 | Journal eISSN: 1841-4036 | Journal ISSN: 1223-9666
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Language: English
Page range: 38 - 55
Published on: Aug 21, 2024
Published by: Ovidius University of Constanta
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Gestational Diabetes Mellitus,
Data Analysis,
Predictive Models,
Ascending Hierarchical Clustering,
Multiple Corresponding Analysis,
Machine Learning,
Cascade Forest Classifier,
Random Forest Classifier
Related subjects:
Medicine,
Clinical medicine,
Clinical medicine, other

© 2024 Hanane Zermane, Adel Kalla, published by Ovidius University of Constanta
This work is licensed under the Creative Commons Attribution 4.0 License.

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