Data Generation With Filtered <italic>&#x03B2;</italic>-VAE for the Preoperative Prediction of Adverse Events

Data Generation With Filtered <italic>&#x03B2;</italic>-VAE for the Preoperative Prediction of Adverse Events

Adverse events after surgery not only affect the patient&#x2019;s recovery but also increase the burden on doctors and patients due to prolonged hospitalization. Predicting adverse events from patient data before surgery with a machine learning method is highly expected. It is difficult to colle...

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Bibliographic Details
Main Authors: Yuki Yamasaki, Chiaki Doi, Shiori Kitagawa, Hiroyuki Seki, Hiroshi Shigeno
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
data generation
medical
adverse events
Online Access:https://ieeexplore.ieee.org/document/10124969/

Internet

https://ieeexplore.ieee.org/document/10124969/

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