Apr 9, 2024 · We developed federated learning models to predict nine major postoperative complications (ie, prolonged intensive care unit stay and mechanical ventilation).
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Jan 25, 2024 · The RFLM predicts postoperative recurrence in gastric cancer patients. The present study demonstrated that the proposed RFLM exhibited greater ...
We hypothesized that multi-task deep learning models would outperform conventional machine learning models in predicting postoperative complications.
Nov 20, 2024 · In this paper, we provide an overview of the development of federated meta-learning and point out the relationship between federated learning, ...
The University of Florida College of Medicine launched the MySurgeryRisk algorithm to predict eight major post-operative complications using automatically ...
Jul 12, 2022 · This study aimed to create a machine-learning prediction model for 30-day mortality after a non-cardiac surgery that adapts to the manageable amount of ...
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Aug 15, 2024 · DL and ML can be used to develop prediction models that can aid surgeons to assess prognosis by analyzing the patient's medical history, imaging data, and ...
Dec 16, 2024 · This study explores the use of federated learning, a machine learning technique, to predict postoperative complications in surgical patients ...
This study demonstrates the potential of machine learning approaches, particularly the K-nearest neighbors (KNN) algorithm, in predicting major postoperative ...
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Jun 5, 2024 · A multicenter treatment response prediction model is designed by FL for predicting the probability of remission of NSCLC patients.
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