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撤回:护理缺陷管理评估与深度学习在护理流程再造优化中的应用

Retracted: Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization.

作者信息

Methods In Medicine Computational And Mathematical

出版信息

Comput Math Methods Med. 2023 Nov 1;2023:9829240. doi: 10.1155/2023/9829240. eCollection 2023.

DOI:10.1155/2023/9829240
PMID:37946944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10631942/
Abstract

[This retracts the article DOI: 10.1155/2021/8019385.].

摘要

[本文撤回文章DOI: 10.1155/2021/8019385。]

相似文献

1
Retracted: Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization.撤回:护理缺陷管理评估与深度学习在护理流程再造优化中的应用
Comput Math Methods Med. 2023 Nov 1;2023:9829240. doi: 10.1155/2023/9829240. eCollection 2023.
2
Retracted: Analysis of the Management Effect of Cancer Patients after Oral Chemotherapy Based on Nursing Process Reengineering.撤回:基于护理流程再造的口腔化疗后癌症患者管理效果分析
J Healthc Eng. 2023 Aug 16;2023:9764691. doi: 10.1155/2023/9764691. eCollection 2023.
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Retracted: Study on Health Care Service Standard of Chronic Disease Management Based on Process Reengineering and the Delphi Method.撤回:基于流程再造和德尔菲法的慢性病管理医疗服务标准研究。
Appl Bionics Biomech. 2023 Dec 20;2023:9757218. doi: 10.1155/2023/9757218. eCollection 2023.
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Retracted: Optimization and Evaluation of an Intelligent Short-Term Blood Glucose Prediction Model Based on Noninvasive Monitoring and Deep Learning Techniques.撤回:基于无创监测和深度学习技术的智能短期血糖预测模型的优化与评估
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Retracted: A Deep Learning-Based Text Classification of Adverse Nursing Events.撤回:基于深度学习的不良护理事件文本分类
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Retracted: Exploration of the Application Effect of the Darongtong Course Model Based on Deep Learning Enhancement in Nursing.撤回:基于深度学习强化的大融通课程模式在护理中的应用效果探索
Contrast Media Mol Imaging. 2023 Sep 27;2023:9836420. doi: 10.1155/2023/9836420. eCollection 2023.

本文引用的文献

1
Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization.利用护理缺陷管理评估和深度学习优化护理流程再造。
Comput Math Methods Med. 2021 Nov 15;2021:8019385. doi: 10.1155/2021/8019385. eCollection 2021.