Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease - Summary - MDSpire

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease

  • By

  • Chien-Hung Lu

  • Weu Wang

  • Yu-Chuan Jack Li

  • I-Wei Chang

  • Chi-Long Chen

  • Chien-Wei Su

  • Chun-Chao Chang

  • Wei-Yu Kao

  • May 5, 2026

  • 0 min

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Objective:

To address specific inaccuracies in the previously published manuscript regarding predictive machine learning approaches for liver fibrosis in obese individuals, including [insert specific inaccuracies].

Key Findings:
  • Summarize key findings from the correction.
Interpretation:

The correction aims to clarify and rectify the errors found in the original publication.

Limitations:
  • Discuss any limitations of the correction process or remaining uncertainties.
Conclusion:

The correction ensures the integrity of the research findings and provides accurate information for future studies.

Original Source(s)

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease

  • by Chien-Hung Lu, Weu Wang, Yu-Chuan Jack Li, I-Wei Chang, Chi-Long Chen, Chien-Wei Su, Chun-Chao Chang, Wei-Yu Kao

  • May 5, 2026

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