Comparative analysis of optimized logistic regression with state-of-the-art models for complex gastroenterological image analysis

While LR remains valuable for its interpretability, ensemble methods such as XGBoost and Random Forest demonstrated superior performance and robustness. These findings support the integration of advanced ML models into clinical decision support systems, particularly in low-data scenarios where deep learning may be impractical.

Authors

László Barna Iantovics (ORCID: https://orcid.org/0000-0001-6254-9291)
Daniela-Maria Cristea (ORCID: https://orcid.org/0000-0002-0046-1064)
Ioan Sima (ORCID: https://orcid.org/0000-0001-9317-0823)

Institutions

Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO)
Babeș-Bolyai University (RO)
1 Decembrie 1918 University (RO)

Publication Details

Journal: Frontiers in Medicine
Published: 2025-11-19
DOI: https://doi.org/10.3389/fmed.2025.1655612
Primary Topic: Colorectal Cancer Screening and Detection
Type: article
Field-Weighted Citation Impact: 0.00

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article

Comparative analysis of optimized logistic regression with state-of-the-art models for complex gastroenterological image analysis

László Barna Iantovics, Daniela-Maria Cristea, Ioan Sima

Nov 19, 2025

Frontiers in Medicine

Colorectal Cancer Screening and Detection

article

Comparative analysis of optimized logistic regression with state-of-the-art models for complex gastroenterological image analysis

László Barna Iantovics, Daniela-Maria Cristea, Ioan Sima

November 19, 2025article en

Abstract

While LR remains valuable for its interpretability, ensemble methods such as XGBoost and Random Forest demonstrated superior performance and robustness. These findings support the integration of advanced ML models into clinical decision support systems, particularly in low-data scenarios where deep learning may be impractical.

Frontiers in MedicineVol. 12

Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO), Babeș-Bolyai University (RO), 1 Decembrie 1918 University (RO)

Openalex Percentile: Top 52%

Colorectal Cancer Screening and Detection

DOI Open Access PDF OpenAlex

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