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Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation
Research article (JMIR Medical Informatics, 2022) · cited 17× · AI/ML
Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation
Summary
Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation is a scholarly article[1].
Key Facts
Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/electronic-medical-recordbased-machine-learning-approach-to-predict-the-risk-of-30-day-adverse-cardiac-events-after-inva
MLA“Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/electronic-medical-recordbased-machine-learning-approach-to-predict-the-risk-of-30-day-adverse-cardiac-events-after-inva.
BibTeX@misc{4ortxyz_electronic-medical-recordbased-machine-learning-approach-to-predict-the-risk-of-30-day-adverse-cardiac-events-after-inva_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation}}, year = {2026}, url = {https://4ort.xyz/entity/electronic-medical-recordbased-machine-learning-approach-to-predict-the-risk-of-30-day-adverse-cardiac-events-after-inva}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation — https://4ort.xyz/entity/electronic-medical-recordbased-machine-learning-approach-to-predict-the-risk-of-30-day-adverse-cardiac-events-after-inva (retrieved 2026-05-24)
