Toward Identifying a Multivariate Correlation of Septic Arthritis With a Machine Learning Approach: Time to Reset the Current Australasian Guidelines?
Septic arthritis presents a multivariate correlation that deserves a holistic oversight rather than singling out individual factors. Data mining platforms like logistic regression can investigate the complex interplay among these individual variables while making a diagnosis not only in septic arthritis but also in other diseases with multisystem involvement, infective or non-infective alike.
Authors
- Sourav Bhattacharjee (ORCID: https://orcid.org/0000-0002-6528-6877)
- Sudharsan Venkatesan (ORCID: https://orcid.org/0000-0002-6973-4198)
- Rob Baird (ORCID: https://orcid.org/0000-0003-2006-5277)
- Sachin Khetan (ORCID: https://orcid.org/0009-0001-5222-6509)
- Imal C Hemachandra (ORCID: https://orcid.org/0009-0003-9701-7836)
Institutions
- University College Dublin (IE)
- Royal Darwin Hospital (AU)
Publication Details
- Journal
- International Journal of Rheumatic Diseases
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1111/1756-185x.70386
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00