Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China
Summary
Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China is a scholarly article[1].
Key Facts
Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China'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). Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-approaches-to-predict-high-cost-chronic-obstructive-pulmonary-disease-patients-in-china
BibTeX@misc{4ortxyz_using-machine-learning-approaches-to-predict-high-cost-chronic-obstructive-pulmonary-disease-patients-in-china_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-approaches-to-predict-high-cost-chronic-obstructive-pulmonary-disease-patients-in-china}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using machine learning approaches to predict high-cost chronic obstructive pulmonary disease patients in China — https://4ort.xyz/entity/using-machine-learning-approaches-to-predict-high-cost-chronic-obstructive-pulmonary-disease-patients-in-china (retrieved 2026-05-24)
