Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data-Reference-Cited by-同舟云学术

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Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data

Published:2024 Issue: Volume:12 Page:42974-42991
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Harder Arnold A.¹,Olbricht Gayla R.¹^ORCID,Ekuma Godwin²,Hier Daniel B.³^ORCID,Obafemi-Ajayi Tayo³^ORCID

Affiliation:

1. Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO, USA

2. Department of Computer Science, Missouri State University, Springfield, MO, USA

3. Department of Electrical and Computer Engineering, Applied Computational Intelligence Laboratory, Missouri University of Science and Technology, Rolla, MO, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472493.pdf?arnumber=10472493

Reference58 articles.

1. Better medicine through machine learning: What’s real, and what’s artificial?

2. Time to reality check the promises of machine learning-powered precision medicine

3. The three ghosts of medical AI: Can the black-box present deliver?

4. A systematic literature review of clustering techniques for patients with traumatic brain injury

5. Clustering identifies endotypes of traumatic brain injury in an intensive care cohort: a CENTER-TBI study

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