Home ›
Entities
› academia
› Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Research article (Frontiers in Cardiovascular Medicine, 2022) · cited 22× · AI/ML
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Summary
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants is a scholarly article[1].
Key Facts
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-validation-of-prediction-models-for-hypertension-risks-a-cross-sectional-study-based-on-4-287-407-partic
MLA“Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-validation-of-prediction-models-for-hypertension-risks-a-cross-sectional-study-based-on-4-287-407-partic.
BibTeX@misc{4ortxyz_development-and-validation-of-prediction-models-for-hypertension-risks-a-cross-sectional-study-based-on-4-287-407-partic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-validation-of-prediction-models-for-hypertension-risks-a-cross-sectional-study-based-on-4-287-407-partic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants — https://4ort.xyz/entity/development-and-validation-of-prediction-models-for-hypertension-risks-a-cross-sectional-study-based-on-4-287-407-partic (retrieved 2026-05-24)
