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Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery
Research article (Neurosurgical FOCUS, 2023) · cited 21× · AI/ML
Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery
Summary
Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery is a scholarly article[1].
Key Facts
Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery. Retrieved May 24, 2026, from https://4ort.xyz/entity/developing-nonlinear-k-nearest-neighbors-classification-algorithms-to-identify-patients-at-high-risk-of-increased-length
MLA“Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/developing-nonlinear-k-nearest-neighbors-classification-algorithms-to-identify-patients-at-high-risk-of-increased-length.
BibTeX@misc{4ortxyz_developing-nonlinear-k-nearest-neighbors-classification-algorithms-to-identify-patients-at-high-risk-of-increased-length_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery}}, year = {2026}, url = {https://4ort.xyz/entity/developing-nonlinear-k-nearest-neighbors-classification-algorithms-to-identify-patients-at-high-risk-of-increased-length}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery — https://4ort.xyz/entity/developing-nonlinear-k-nearest-neighbors-classification-algorithms-to-identify-patients-at-high-risk-of-increased-length (retrieved 2026-05-24)
