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Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort
Research article (Arthroplasty, 2023) · cited 10× · AI/ML
Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort
Summary
Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort is a scholarly article[1].
Key Facts
Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-30-day-readmission-following-total-knee-arthroplasty-using-machine-learning-and-clinical-expertise-applied-to
MLA“Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-30-day-readmission-following-total-knee-arthroplasty-using-machine-learning-and-clinical-expertise-applied-to.
BibTeX@misc{4ortxyz_predicting-30-day-readmission-following-total-knee-arthroplasty-using-machine-learning-and-clinical-expertise-applied-to_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-30-day-readmission-following-total-knee-arthroplasty-using-machine-learning-and-clinical-expertise-applied-to}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort — https://4ort.xyz/entity/predicting-30-day-readmission-following-total-knee-arthroplasty-using-machine-learning-and-clinical-expertise-applied-to (retrieved 2026-05-24)
