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Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions
Amanda E. Nelson and Liubov Arbeeva
The Journal of Rheumatology November 2022, 49 (11) 1191-1200; DOI: https://doi.org/10.3899/jrheum.220326
Amanda E. Nelson
1A.E. Nelson, MD, MSCR, Department of Medicine, Division of Rheumatology, Allergy, and Immunology, University of North Carolina at Chapel Hill;
Liubov Arbeeva
2L. Arbeeva, MS, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
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In this issue
The Journal of Rheumatology
Vol. 49, Issue 11
1 Nov 2022
Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions
Amanda E. Nelson, Liubov Arbeeva
The Journal of Rheumatology Nov 2022, 49 (11) 1191-1200; DOI: 10.3899/jrheum.220326
Jump to section
- Article
- Abstract
- AI/ML for diagnosis: Identifying the condition of interest in a patient or cohort
- AI/ML for phenotyping: Defining important subtypes of disease
- AI/ML for prognosis: Defining disease course for targeted intervention
- AI/ML for precision medicine: Using data to guide therapy and avoid adverse events
- Limitations and biases in AI/ML
- Summary
- ACKNOWLEDGMENT
- Footnotes
- REFERENCES
- Figures & Data
- Info & Metrics
- References
- eLetters