Home › Entities › academia › Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

Research article (BMJ Open, 2021) · cited 27× · AI/ML
academia openalex:W3209819173
Press Enter · cited answer in seconds

Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

Summary

Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence is a scholarly article[1].

Key Facts

  • Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence's instance of is recorded as scholarly article[2].

Related Entities

David C. Hogg

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc
MLA “Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc.
BibTeX @misc{4ortxyz_predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence — https://4ort.xyz/entity/predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/predicting-patient-level-new-onset-atrial-fibrillation-from-population-based-nationwide-electronic-health-records-protoc · Last refreshed: