A Hybrid Density-Based Outlier Detection Model for Privacy in Electronic Patient Record system-Reference-Cited by-同舟云学术

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A Hybrid Density-Based Outlier Detection Model for Privacy in Electronic Patient Record system

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 5th International Conference on Information Management (ICIM)
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Author:

Boddy Aaron,Hurst William,Mackay Michael,El Rhalibi Abdennour

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8704709/8714650/08714701.pdf?arnumber=8714701

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records;Medicine Advances;2024-08-23

2. An Analysis of Integrating Machine Learning in Healthcare for Ensuring Confidentiality of the Electronic Records;Computer Modeling in Engineering & Sciences;2022

3. Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study;JMIR Medical Informatics;2021-12-22

4. A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications;International Journal of Environmental Research and Public Health;2021-02-22

5. Data-Driven and Artificial Intelligence (AI) Approach for Modelling and Analyzing Healthcare Security Practice: A Systematic Review;Advances in Intelligent Systems and Computing;2020-08-25

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