JAMIA: A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients
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Updated
Jan 7, 2025 - Python
JAMIA: A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients
This repository contains the documentation for reproducibility of the study "Preoperative atelectasis in patients with obesity undergoing bariatric surgery: a cross-sectional study".
This repository contains the R code used to produce the manuscript: 'Development and internal validation of a risk-adjustment model for postoperative morbidity in adults undergoing major elective colorectal surgery: the Perioperative Quality Improvement Programme – colorectal risk model'
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