Predicting reoperation and readmission for head and neck free flap patients using machine learning

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Externally Validated Machine Learning Models for 30-/90-/180-Day Unplanned Readmission After Head and Neck Cancer Hospitalizations in the United States2026
2. 2Preoperative artificial intelligence-based risk model for surgical reintervention after microsurgical free flap reconstruction2026
3. 3Machine learning-based prediction of 30-day unplanned readmission risk in day surgery lung cancer patients after lobectomy or sublobectomy: a real-world study2026
4. 4Advancing postoperative mortality prediction in gastrectomy: a machine learning approach using NSQIP data2025
5. 5Development and Validation of a Machine Learning Model Utilizing the ACS-NSQIP Database for Predicting Early Postoperative Re-operation in Lumbar Microdiscectomy2026 · 1 citations