Data Modeling
Latest Issue - Volume 1 Number 1 2026
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Data Modeling
Data Modeling is an international, open access, peer-reviewed journal that publishes: Original Research; Reviews; Hypothesis formation and commentaries in the fields of b
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Data Modeling
Volume 1 Number 1 2026
Table of Contents
Research Article
ML and Mathematical Data Modeling
Kamruzzaman Mithu 1*, Shahanara Begum 2, Md Nesar Uddin 1, Mohammad Nurul Huda 1
This study bridges predictive modeling and clinical interpretability, enabling transparent, individualized liver disease risk assessment to support more informed, human-centered healthcare decisions.Pages: 1-8
Abstract | Full Text | Open Access Article
The peer-reviewed and edited version of record published online before inclusion in an issue
These articles have been peer reviewed and accepted for publication. They are still in production and have not been edited, so may differ from the final published form.
The Most Read ranking is based on the number of downloads in the last 60 days from papers published on the Data Modeling within the last 12 months. Usage statistics are updated daily.
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HCNN-LSTM with BERT Embeddings and TomekLinks for Imbalanced News Text Classification
This study presents a robust hybrid framework that improves imbalanced news classification through contextual embeddings, better minority-class recognition, and superior performance.
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Interpretable Machine Learning Data Modeling for Liver Disease Risk Profiling: Insights from the Indian Liver Patient Dataset
This study bridges predictive modeling and clinical interpretability, enabling transparent, individualized liver disease risk assessment to support more informed, human-centered healthcare decisions.Pages: 1-8
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