August 2, 2025

Figure 2 from Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review

Key Points

MAIN FINDING: The review identifies various diagnostic risk prediction models for upper gastrointestinal cancers.
KEY EVIDENCE: A bar chart displays the number of models developed using machine learning or conventional statistics.
APPROACH: Statistical methods, including machine learning techniques, are compared for model development.
SIGNIFICANCE: This work advances understanding of model effectiveness in predicting upper gastrointestinal cancers.

Abstract

Statistical methods used to develop each model. A, Bar chart showing the number of models developed with different methods, either ML (blue) or conventional statistics (orange) B, The most common methods used for conventional statistics and the number of models. C, The most common methods used for ML techniques and the number of models.

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