Raw performance metrics for the MLP model.

<p>The table presents the raw output from the bootstrap analysis, showing the mean, lower, and upper confidence interval bounds for the AUC of local and federated models, and the performance gain (<i>Δ</i>AUC). It provides a hospital-level breakdown of the mean AUC and 95% CI for t...

全面介绍

Saved in:

书目详细资料
主要作者:	Roberta Moreira Wichmann (14259316) (author)
其他作者:	Murilo Afonso Robiati Bigoto (22676715) (author), Alexandre Dias Porto Chiavegatto Filho (14259328) (author)
出版:	2025
主题:	Cell Biology Ecology Cancer Science Policy Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified via parameter aggregation using ensemble aggregation strong inverse correlation maximum performance degradation benefits requires caution beneficial collaborative effect >&# 916 ;</ 19 mortality using 19 mortality prediction local patient volume statistically certain benefits statistical significance showed 0273 ]) due auc crossed zero study validates fl fl models demonstrated performance gain (< evaluated federated learning div >< p collaborative model ’ auc minus auc local data scarcity ci [– 0 gain ’ federated learning local validation universally certain statistical advantage 6307 ]) auc across – 0 volatile algorithm smallest hospital particularly evident network (< multicentric sample multicenter sample limited institutions layer perceptron iid ). high sensitivity findings underscore every site enabling mechanism despite achieving confidence intervals 500 ). 022 patients
标签:	添加标签没有标签, 成为第一个标记此记录!

实物特征
总结:	<p>The table presents the raw output from the bootstrap analysis, showing the mean, lower, and upper confidence interval bounds for the AUC of local and federated models, and the performance gain (<i>Δ</i>AUC). It provides a hospital-level breakdown of the mean AUC and 95% CI for the local and federated MLP models. The table also includes the mean <i>Δ</i>AUC and its confidence interval, allowing for an assessment of the performance gain achieved by the federated neural network.</p> <p>(XLSX)</p>

Raw performance metrics for the MLP model.

相似书籍