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Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient
Research article (Scientific Reports, 2025) · cited 16× · AI/ML
Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient
Summary
Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient is a scholarly article[1].
Key Facts
Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-machine-learning-model-based-on-eeg-ecg-and-clinical-features-for-predicting-neurological-outcomes-in-cardia
MLA“Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-machine-learning-model-based-on-eeg-ecg-and-clinical-features-for-predicting-neurological-outcomes-in-cardia.
BibTeX@misc{4ortxyz_explainable-machine-learning-model-based-on-eeg-ecg-and-clinical-features-for-predicting-neurological-outcomes-in-cardia_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable machine learning model based on EEG, ECG, and clinical features for predicting neurological outcomes in cardiac arrest patient}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-machine-learning-model-based-on-eeg-ecg-and-clinical-features-for-predicting-neurological-outcomes-in-cardia}, note = {Accessed: 2026-05-24}}
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