Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records-Reference-Cited by-同舟云学术

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Human‐in‐the‐loop machine learning for healthcare: Current progress and future opportunities in electronic health records

Published:2024-08-23 Issue: Volume: Page:
ISSN:2834-4391
Container-title:Medicine Advances
language:en
Short-container-title:Medicine Advances

Author:

Yuan Han¹^ORCID,Kang Lican²^ORCID,Li Yong³^ORCID,Fan Zhenqian¹^ORCID

Affiliation:

1. Centre for Quantitative Medicine Duke‐NUS Medical School Singapore Singapore

2. Cardiovascular and Metabolic Disorders Program Duke‐NUS Medical School Singapore Singapore

3. Singapore Eye Research Institute Singapore National Eye Centre Singapore Singapore

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/med4.70

Reference21 articles.

1. Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies

2. A survey of human-in-the-loop for machine learning

3. Assuring the Machine Learning Lifecycle

4. A method for rapid machine learning development for data mining with doctor-in-the-loop

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

Cited by 1 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. Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare;Medicine Advances;2024-08-27

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