Unsupervised machine learning methods and emerging applications in healthcare-Reference-Cited by-同舟云学术

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Unsupervised machine learning methods and emerging applications in healthcare

Published:2022-11-15 Issue:2 Volume:31 Page:376-381
ISSN:0942-2056
Container-title:Knee Surgery, Sports Traumatology, Arthroscopy
language:en
Short-container-title:Knee Surg Sports Traumatol Arthrosc

Author:

Eckhardt Christina M.,Madjarova Sophia J.,Williams Riley J.,Ollivier Mattheu,Karlsson Jón,Pareek Ayoosh,Nwachukwu Benedict U.

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00167-022-07233-7.pdf

Reference23 articles.

1. Altman NKM (2017) Clustering. Nat Methods 14:545–546

2. Angelini F, Widera P, Mobasheri A, Blair J, Struglics A, Uebelhoer M et al (2022) Osteoarthritis endotype discovery via clustering of biochemical marker data. Ann Rheum Dis 81:666–675

3. Bastanlar Y, Ozuysal M (2014) Introduction to machine learning. Methods Mol Biol 1107:105–128

4. Cadima J, Cerdeira JO, Minhoto M (2004) Computational aspects of algorithms for variable selection in the context of principal components. Comput Stat Data Anal 47:225–236

5. Davenport T, Kalakota R (2019) The potential for artificial intelligence in healthcare. Future Healthc J 6:94–98

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