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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Research article (PLoS ONE, 2018) · cited 244× · AI/ML
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
Summary
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease is a scholarly article[1].
Key Facts
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-in-electronic-health-records-can-outperform-conventional-survival-models-for-predicting-patient-
MLA“Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-in-electronic-health-records-can-outperform-conventional-survival-models-for-predicting-patient-.
BibTeX@misc{4ortxyz_machine-learning-models-in-electronic-health-records-can-outperform-conventional-survival-models-for-predicting-patient-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-in-electronic-health-records-can-outperform-conventional-survival-models-for-predicting-patient-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease — https://4ort.xyz/entity/machine-learning-models-in-electronic-health-records-can-outperform-conventional-survival-models-for-predicting-patient- (retrieved 2026-05-24)
