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Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures
Research article (Clinical EEG and Neuroscience, 2019) · cited 27× · AI/ML
Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures
Summary
Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures is a scholarly article[1].
Key Facts
Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures. Retrieved May 24, 2026, from https://4ort.xyz/entity/binomial-logistic-regression-and-artificial-neural-network-methods-to-classify-opioid-dependent-subjects-and-control-gro
MLA“Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/binomial-logistic-regression-and-artificial-neural-network-methods-to-classify-opioid-dependent-subjects-and-control-gro.
BibTeX@misc{4ortxyz_binomial-logistic-regression-and-artificial-neural-network-methods-to-classify-opioid-dependent-subjects-and-control-gro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures}}, year = {2026}, url = {https://4ort.xyz/entity/binomial-logistic-regression-and-artificial-neural-network-methods-to-classify-opioid-dependent-subjects-and-control-gro}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures — https://4ort.xyz/entity/binomial-logistic-regression-and-artificial-neural-network-methods-to-classify-opioid-dependent-subjects-and-control-gro (retrieved 2026-05-24)
