https://www.selleckchem.com/products/AZD6244.html
To establish a machine learning (ML)-based prediction model for readmission within 30days (early readmission or early readmission) of patients based on their profile at index hospitalization for esophagectomy. Using the National Readmission Database, 383 patients requiring early readmission out of a total of 2037 esophagectomy patients alive at discharge in 2016 were identified. Early readmission risk factors were identified using standard statistics and after the application of ML methodology, the models were interpreted. Early readmis
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