Correction: Development and validation of an interpretable machine learning model for venous thromboembolism risk prediction in patients with lung cancer: a real-world study - Summary - MDSpire
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Correction: Validation and Development of an Explainable Machine Learning Approach for Predicting Venous Thromboembolism Risk in Lung Cancer Patients: A Real-World Analysis
To correct the reported P-values in the study on venous thromboembolism risk prediction in lung cancer patients.
Approach:
Correction Details: The correction addresses errors in Table 1 regarding the final P-values for 'Anticoagulant' and 'Chemotherapy drugs', which have been corrected to 1.000.
Key Findings:
The corrected P-values remain above 0.05, indicating no statistically significant differences between training and validation cohorts for the specified variables.
The correction does not affect the model construction, results, interpretation, or conclusions of the original study.
Interpretation:
The statistical interpretation remains unchanged despite the correction of P-values.
Limitations:
The correction only pertains to the accuracy of reported P-values and does not address other aspects of the study.
Conclusion:
The original article has been updated to reflect the corrected P-values.
