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本文引用的文献

1
An Artificial Intelligence Approach to Predicting Unplanned Intubation Following Anterior Cervical Discectomy and Fusion.一种预测颈椎前路椎间盘切除融合术后非计划插管的人工智能方法。
Global Spine J. 2023 Sep;13(7):1849-1855. doi: 10.1177/21925682211053593. Epub 2022 Feb 8.
2
Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms.使用改进的SMOTE与堆叠深度学习算法相结合有效处理医疗保健中的不平衡数据集。
Appl Nanosci. 2023;13(3):1829-1840. doi: 10.1007/s13204-021-02063-4. Epub 2022 Feb 3.
3
100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox.100% 的分类准确率可能有害:归一化信息传递因子解释了准确率悖论。
PLoS One. 2014 Jan 10;9(1):e84217. doi: 10.1371/journal.pone.0084217. eCollection 2014.
4
Use and misuse of the receiver operating characteristic curve in risk prediction.风险预测中受试者工作特征曲线的应用与误用
Circulation. 2007 Feb 20;115(7):928-35. doi: 10.1161/CIRCULATIONAHA.106.672402.

Letter to the Editor on "an Artificial Intelligence Approach to Predicting Unplanned Intubation Following Anterior Cervical Discectomy and Fusion" by Veeramani et al.

作者信息

De la Garza Ramos Rafael, Yassari Reza

机构信息

Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.

Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, USA.

出版信息

Global Spine J. 2022 Jul;12(6):1304-1305. doi: 10.1177/21925682221085545. Epub 2022 Mar 30.

DOI:10.1177/21925682221085545
PMID:35350910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9210229/
Abstract
摘要