Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative-Reference-Cited by-同舟云学术

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Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative

Published:2020-07-15 Issue: Volume: Page:
ISSN:
Container-title:2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA
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Author:

Alexos Antonios¹,Kokkotis Christos²,Moustakidis Serafeim³,Papageorgiou Elpiniki⁴,Tsaopoulos Dimitrios¹

Affiliation:

1. University of California Irvine,Department of Computer Science,Irvine,USA

2. Institute of Bio-Economy and Agri-Technology,Center for Research and Technology Hellas,Volos,Greece

3. AIDEAS OÜ Narva mnt 5,Tallinn,Harju maakond,Estonia

4. University of Thessaly,Faculty of Technology,Energy Systems Department,Geopolis Campus,Larissa,Greece,41500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9284145/9284146/09284379.pdf?arnumber=9284379

Cited by 11 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. Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images;Scientific Reports;2024-03-27

2. Clinical prediction models for knee pain in patients with knee osteoarthritis: a systematic review;Skeletal Radiology;2024-01-24

3. ARTHRO—Knee Osteoarthritis Detection Using Deep Learning;Lecture Notes in Networks and Systems;2024

4. SSANet: Side-by-Side Additive Network for Knee Osteoarthritis Severity Detection from X-Ray Images;Lecture Notes in Networks and Systems;2024

5. Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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