Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model

Research article (Journal of Orthopaedic Trauma, 2019) · cited 61× · AI/ML
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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model

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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model is a scholarly article[1].

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  • Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/bundled-care-for-hip-fractures-a-machine-learning-approach-to-an-untenable-patient-specific-payment-model
MLA “Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bundled-care-for-hip-fractures-a-machine-learning-approach-to-an-untenable-patient-specific-payment-model.
BibTeX @misc{4ortxyz_bundled-care-for-hip-fractures-a-machine-learning-approach-to-an-untenable-patient-specific-payment-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model}}, year = {2026}, url = {https://4ort.xyz/entity/bundled-care-for-hip-fractures-a-machine-learning-approach-to-an-untenable-patient-specific-payment-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model — https://4ort.xyz/entity/bundled-care-for-hip-fractures-a-machine-learning-approach-to-an-untenable-patient-specific-payment-model (retrieved 2026-05-24)

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