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Prediction of Sepsis Mortality Risk Based on Ensemble Learning Algorithm FBTV by Zhang, Xuan (author);Huang, Lixin (author);Fu, Teng (author);Wu, Yujia (author) is a scholarly article available to read on EtoBox.

What is Prediction of Sepsis Mortality Risk Based on Ensemble Learning Algorithm FBTV about?

This second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.

Author

Zhang, Xuan (author);Huang, Lixin (author);Fu, Teng (author);Wu, Yujia (author)

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2024

Language

EN

ISBN

9789819994120