Multilevel Modeling of Joint Damage in Rheumatoid Arthritis
While most deep learning approaches are developed for single images, in real‐world applications, images are often obtained as a series to inform decision‐making. Due to hardware (memory) and software (algorithm) limitations, few methods have been developed to integrate multiple images so far. Herein...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-11-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202200184 |
| _version_ | 1811179798751346688 |
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| author | Hongyang Li Yuanfang Guan |
| author_facet | Hongyang Li Yuanfang Guan |
| author_sort | Hongyang Li |
| collection | DOAJ |
| description | While most deep learning approaches are developed for single images, in real‐world applications, images are often obtained as a series to inform decision‐making. Due to hardware (memory) and software (algorithm) limitations, few methods have been developed to integrate multiple images so far. Herein, an approach that seamlessly integrates deep learning and traditional machine learning models is presented, to study multiple images and score joint damages in rheumatoid arthritis. This method allows the quantification of joining space narrowing to approach the clinical upper limit. Beyond predictive performance, the multilevel interconnections across joints and damage types into the machine learning model are integrated and the crossregulation map of joint damages in rheumatoid arthritis is revealed. An interactive preprint version of the article can be found at https://doi.org/10.22541/au.165828097.71839600/v1. |
| first_indexed | 2024-04-11T06:39:39Z |
| format | Article |
| id | doaj.art-b87f8062db044ff485347b90ca806a43 |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-04-11T06:39:39Z |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-b87f8062db044ff485347b90ca806a432022-12-22T04:39:34ZengWileyAdvanced Intelligent Systems2640-45672022-11-01411n/an/a10.1002/aisy.202200184Multilevel Modeling of Joint Damage in Rheumatoid ArthritisHongyang Li0Yuanfang Guan1Department of Computational Medicine and Bioinformatics University of Michigan 100 Washtenaw Avenue Ann Arbor MI 48109 USADepartment of Computational Medicine and Bioinformatics University of Michigan 100 Washtenaw Avenue Ann Arbor MI 48109 USAWhile most deep learning approaches are developed for single images, in real‐world applications, images are often obtained as a series to inform decision‐making. Due to hardware (memory) and software (algorithm) limitations, few methods have been developed to integrate multiple images so far. Herein, an approach that seamlessly integrates deep learning and traditional machine learning models is presented, to study multiple images and score joint damages in rheumatoid arthritis. This method allows the quantification of joining space narrowing to approach the clinical upper limit. Beyond predictive performance, the multilevel interconnections across joints and damage types into the machine learning model are integrated and the crossregulation map of joint damages in rheumatoid arthritis is revealed. An interactive preprint version of the article can be found at https://doi.org/10.22541/au.165828097.71839600/v1.https://doi.org/10.1002/aisy.202200184deep learningmachine learningrheumatoid arthritis |
| spellingShingle | Hongyang Li Yuanfang Guan Multilevel Modeling of Joint Damage in Rheumatoid Arthritis Advanced Intelligent Systems deep learning machine learning rheumatoid arthritis |
| title | Multilevel Modeling of Joint Damage in Rheumatoid Arthritis |
| title_full | Multilevel Modeling of Joint Damage in Rheumatoid Arthritis |
| title_fullStr | Multilevel Modeling of Joint Damage in Rheumatoid Arthritis |
| title_full_unstemmed | Multilevel Modeling of Joint Damage in Rheumatoid Arthritis |
| title_short | Multilevel Modeling of Joint Damage in Rheumatoid Arthritis |
| title_sort | multilevel modeling of joint damage in rheumatoid arthritis |
| topic | deep learning machine learning rheumatoid arthritis |
| url | https://doi.org/10.1002/aisy.202200184 |
| work_keys_str_mv | AT hongyangli multilevelmodelingofjointdamageinrheumatoidarthritis AT yuanfangguan multilevelmodelingofjointdamageinrheumatoidarthritis |