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基于非线性加权 XGBoost 算法的医院住院时间预测与分析。

Prediction and Analysis of Length of Stay Based on Nonlinear Weighted XGBoost Algorithm in Hospital.

机构信息

The Affiliated Hospital of Chengde Medical College, Chengde, Hebei 067000, China.

出版信息

J Healthc Eng. 2021 Nov 30;2021:4714898. doi: 10.1155/2021/4714898. eCollection 2021.

DOI:10.1155/2021/4714898
PMID:34900191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8654524/
Abstract

An improved nonlinear weighted extreme gradient boosting (XGBoost) technique is developed to forecast length of stay for patients with imbalance data. The algorithm first chooses an effective technique for fitting the duration of stay and determining the distribution law and then optimizes the negative log likelihood loss function using a heuristic nonlinear weighting method based on sample percentage. Theoretical and practical results reveal that, when compared to existing algorithms, the XGBoost method based on nonlinear weighting may achieve higher classification accuracy and better prediction performance, which is beneficial in treating more patients with fewer hospital beds.

摘要

提出了一种改进的非线性加权极端梯度提升（XGBoost）技术，用于预测不平衡数据中患者的住院时间。该算法首先选择一种有效的技术来拟合住院时间，确定分布规律，然后使用基于样本百分比的启发式非线性加权方法优化负对数似然损失函数。理论和实践结果表明，与现有算法相比，基于非线性加权的 XGBoost 方法可以实现更高的分类准确性和更好的预测性能，这有利于在更少的医院床位治疗更多的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/d6904f874e04/JHE2021-4714898.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/a1f673fe742e/JHE2021-4714898.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/d82390bf0528/JHE2021-4714898.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/bee8f6f3bd65/JHE2021-4714898.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/c7b4831bf794/JHE2021-4714898.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/d6904f874e04/JHE2021-4714898.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/a1f673fe742e/JHE2021-4714898.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/d82390bf0528/JHE2021-4714898.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/bee8f6f3bd65/JHE2021-4714898.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/c7b4831bf794/JHE2021-4714898.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60d7/8654524/d6904f874e04/JHE2021-4714898.005.jpg

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