Home ›
Entities
› academia
› Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
Research article (Heart Lung and Circulation, 2021) · cited 40× · AI/ML
Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery
Summary
Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery is a scholarly article[1].
Key Facts
Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery'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). Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-outperforms-existing-clinical-scoring-tools-in-the-prediction-of-postoperative-atrial-fibrillation-duri
MLA“Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-outperforms-existing-clinical-scoring-tools-in-the-prediction-of-postoperative-atrial-fibrillation-duri.
BibTeX@misc{4ortxyz_machine-learning-outperforms-existing-clinical-scoring-tools-in-the-prediction-of-postoperative-atrial-fibrillation-duri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-outperforms-existing-clinical-scoring-tools-in-the-prediction-of-postoperative-atrial-fibrillation-duri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Outperforms Existing Clinical Scoring Tools in the Prediction of Postoperative Atrial Fibrillation During Intensive Care Unit Admission After Cardiac Surgery — https://4ort.xyz/entity/machine-learning-outperforms-existing-clinical-scoring-tools-in-the-prediction-of-postoperative-atrial-fibrillation-duri (retrieved 2026-05-24)